Montanuniversität Leoben

Full time fixed term for 12 months Opportunity for a Research associate or a Postdoctoral Research Associate - Biostatistics to join a multi-disciplinary cardiovascular research program working across the Charles Perkins Centre and Kolling Institute. Combine your expertise in big data to support the discovery and development of novel biomarkers of cardiovascular disease. Base salary Level A $89,831 - $121,054 +17% superannuation About the opportunity We have an opportunity for a Research Associate /Postdoctoral Research Associate - Biostatistics to join a team of researchers, under the supervision of Chief Investigators Prof. Gemma Figtree and Prof. Jean Yang. As indicated in the position titles, although a PhD is not requirement, we are also willing to recruit someone interested in a Postdoctoral position. The successful applicant will also be part of the Sydney Precision Data Science Centre and School of Mathematics and Statistics. We have a strong team working on various aspects of applied statistics and biostatistics research. We are interested in applying biostatistics methods to solve clinical problems in medicine and digital health. Your key responsibilities will be to work independently and as part of a team to conduct data analysis on large-scale biomedical and/or clinical datasets, publish research papers in international peer-reviewed journals, present at conferences, and mentor undergraduate and postgraduate students. Your key responsibilities will be to: work independently and as part of a team to conduct data analysis on large-scale biomedical and/or clinical datasets publish research papers in international peer-reviewed journals present at conferences and mentor undergraduate and postgraduate students. About you demonstrated strong biostatistics or statistical genetics background proven data analysis experience demonstrated ability to conduct research / scholarly activities under limited supervision and as part of a multidisciplinary research team good organisational and administrative skills with attention to detail superior computer programming or software development skills good communication skills (both written and oral). Applicants who demonstrate the following desirable criteria will be highly regarded: experience in clinical analytics, experience with biostatistics or biomedical data science consulting ability to assist researchers from other disciplines comprehensive experience of common online bioinformatics software and databases such as, UniProt, GenBank or BLAST etc strong general IT skills, including familiarity with Linux/Unix environments and HPC server. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. As this position is located on an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit: NSW Health employment requirements. Research Associate, Category A is Required and Postdoctoral Research Associate, Category B is required EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Chris Masaoka, Recruitment Operations by email to recruitment.sea@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment Applications Close Thursday 11 June 2026 11:59 PM

Based at Roseworthy Veterinary Hospital Full-time continuing and fixed term positions Participation in a 24/7 rotating roster, with an opportunity to significantly increase earnings through roster penalties and shift loadings, which may equate to approximately 30–40% above base salary depending on roster participation Salary Range: (HEO4) $73,961 to $81,067 plus 17% superannuation Work in a dynamic large animal veterinary hospital environment We are recruiting for multiple experienced Large Animal Veterinary Nurses with sound technical skills in areas such as clinical procedures, emergency care, diagnostic, surgical and medical Interventions, to deliver high-quality patient care, clinical assistance, and student learning support within the Large Animal Hospital. At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters As a Large Animal Veterinary Nurse, you will provide high-quality nursing support across clinical, surgical, diagnostic, and ambulatory services within the Veterinary Hospital. You will play a key role in patient care, including emergency triage and stabilisation, anaesthesia and imaging preparation, treatment implementation, and client communication, while supporting safe and effective clinical service delivery in accordance with hospital standards. The role includes coordinating patient admissions and discharges, maintaining animal housing and isolation facilities, and supporting hospital operations through best-practice hygiene, waste disposal, biosecurity, and safety procedures relevant to large animal handling environments. Working collaboratively with veterinarians, students, client relations, and administrative teams, you will also contribute to clinical teaching and student learning by providing practical supervision, mentoring, and support during procedures, patient care activities, and clinical placements, while consistently applying Adelaide University health, safety, and wellbeing procedures within a dynamic clinical environment. In addition to the base salary and superannuation, this role offers the opportunity to earn substantial additional income through applicable shift penalties, weekend rates, and after-hours loadings associated with the roster. For nurses who actively participate across the rotating roster, these additional payments can provide a meaningful uplift to total remuneration. Curious to learn more? Explore the full role description below to discover more about this opportunity. The team This role sits within the Roseworthy Veterinary Hospital team in the College of Science and reports to the Equine Practice Manager. The team works collaboratively to deliver high-quality veterinary services to clients and referring veterinarians while supporting clinical teaching and learning outcomes across the University community. Visit the AU website to learn more about the Roseworthy Veterinary Hospital. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is ideal for someone who thrives in a fast-paced and hands-on clinical environment. You will work closely with veterinarians, students, clients, and support staff across a variety of emergency and critical care cases, making every day engaging and rewarding. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: Qualifications Certificate IV in Veterinary Nursing, or a Bachelor of Veterinary Technology, together with a minimum of two years’ relevant veterinary nursing experience. Experience Experience in veterinary nursing with sound technical skills in areas such as surgery, emergency, internal medicine or general practice Experience working in a clinical setting maintaining best practices Experience with practice management software Experience providing supervision and/or training to students Experience applying Occupational Health and Safety and biosecurity protocols Experience working independently and as part of a team in a dynamic hospital environment Ability to participate in a 24/7 rotational roster Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Simply click on the Apply Now button and upload: your current CV a cover letter The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm Monday 15 June 2026 We encourage early applications, as applications will be reviewed regularly throughout the advertising period and shortlisted candidates may be contacted before the closing date. For further information about this opportunity, please contact (quoting reference number 493153): Simone Patterson Talent Acquisition Adviser +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.07.2029 Reference no.: 5671 The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. The job posting includes two pre-doctoral positions, each for 30 hours per week. Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The two postdoctoral positions are based in the newly established “Computer Science Education Group” (CSEG) within the “Didactics of Computer Science” professorship, led by Mag. Dr.techn. Bernhard Standl in the EDEN research group at the Faculty of Computer Science at the University of Vienna. The positions are situated within the research fields of computational thinking and AI literacy. The dissertations will focus on computer science education, with an emphasis on the empirical investigation of teaching and learning processes related to fundamental computational ways of thinking and acting, such as problem-solving processes, abstraction, modeling and pattern recognition as well as the understanding, application and reflection on artificial intelligence. A central research environment is the Computer Science Teaching and Learning Lab, where teaching and learning scenarios are developed, tested, empirically investigated and further refined in both school and university contexts. These positions offer the opportunity to contribute to a newly emerging research group, write a cumulative dissertation in computer science education and engage with national and international research networks. The selected pre-doctoral researchers will also be integrated into the UniVie Doctoral School of Computer Science (DoCS). Your future tasks: You actively participate in research, teaching & administration, which means: You are working on your dissertation and its completion in the field of computer science education, specifically on computational thinking, AI literacy, fundamental concepts in computer science or digital literacy. You develop and test computer science education workshops and teaching-learning scenarios for the Computer Science Teaching-Learning Lab and for use in schools. You conduct these workshops in the Computer Science Teaching and Learning Lab and in school-based collaborative settings. You conduct empirical research on the developed teaching and learning scenarios, evaluate the results and iteratively refine the concepts. You author academic publications, conference papers and presentations. You participate in research-based teaching as well as in school collaboration initiatives, knowledge transfer activities and organizational tasks within the research group. We expect you to finalize your dissertation agreement within 12 months. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed Master's degree or Diploma in the field of computer science, teaching digital literacy and computer science, computer science education or a related field with a clear focus on computer science or computer science teaching and learning processes. A strong interest in computer science education, AI literacy, computational thinking and empirical teaching and learning research. Willingness to work on a dissertation in the field of computer science education. Basic knowledge of empirical research methods or a willingness to develop these skills further. Strong computer science and technical skills, particularly in programming, digital tools or computer science teaching and learning settings. Excellent command of written and spoken German and English (C1 Level). A structured, independent and reliable work style, ability to work in a team, strong communication skills and a passion for interdisciplinary collaboration. Desirable qualifications include: Knowledge or experience in one or more of the following areas: computational thinking, programming, algorithmic thinking, physical computing, robotics, modeling, basic computer science education, AI literacy or general digital literacy. Experience in schools, teacher education, learning support or educational work. Initial experience with qualitative, quantitative or mixed-methods research designs, design-based research, instructional development or the evaluation of teaching and learning settings. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) (paid 14 times a year) increases if we can credit professional experience. Duration of contract: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent A cover letter explaining why you are a good fit for the position and the research field of computational thinking / computer science education A brief outline of potential dissertation topics, approx. 1–2 pages Proof of completion of a master’s or diploma program Abstract of your master’s or diploma thesis If available: list of publications, proof of teaching experience, classroom experience, project collaboration or academic presentations Optional: a representative writing sample, e.g., master’s thesis, seminar paper or publication Via our job portal / Apply now - button If you have any questions, please contact: Bernhard Standl bernhard.standl@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 06/15/2026 Prae Doc