Capital Medical University

Salary Package: $112,550 (LEVEL A.6) p.a. plus 17% employer's superannuation and annual leave loading -Appointment Type: Full-time, 2 years fixed term Location: Macquarie University, Wallumattagal Campus (North Ryde) Join a multi-disciplinary team aiming to systematically investigate nutrient uptake and metabolism in a fast growing cyanobacterium. Nutrient uptake pathways in cyanobacteria are poorly understood, yet they are critical for understanding ocean carbon cycling and for harnessing cyanobacteria in biomanufacturing. The Macquarie University, School of Natural Sciences, is currently seeking a suitably qualified Research Fellow to join a multi-disciplinary team working to decode cyanobacterial nutrient uptake systems in collaboration with the University of Queensland, the Australian Institute of Bioengineering and Nanotechnology. This work, supported by an ARC Discovery Project, integrates protein biochemistry, physiological characterisation, cyanobacterial genetic engineering, high throughput functional genomics, transcriptomics and stable isotope resolved metabolomics. The successful applicant will work with Distinguished Professor Ian Paulsen, Professor Esteban Marcellin, Dr Bhumika Shah and Dr Alescia Cullen to: Construct a cyanobacterial deletion mutant library of nutrient uptake genes using biofoundry automation Compare the growth and physiology of wildtype strains and mutants Utilise functional genomics, transcriptomics and metabolomics to resolve metabolic pathways and regulatory networks Provide day to day support to HDR students and collaborate closely with chief investigators to ensure the timely delivery of the project milestones Initiate and maintain academic and industry collaborations, and apply for research funding Communicate research findings in scientific journals and at conferences About You You will have completed a PhD in molecular biology, microbiology, synthetic biology, systems biology or a closely related discipline. You will enjoy contributing to impactful research outcomes and communicating research findings to a wide range of audiences. You have strong organisational skills and a collaborative mindset, and you are interested in mentoring junior researchers. If you enjoy working across diverse fields of research, then this is a role you will thrive in and a team you will enjoy working with. How To Apply To be considered for this position, please apply online by submitting your CV and a separate cover letter that demonstrates how you meet the following selection criteria: Selection Criteria: Essential PhD or equivalent experience in molecular biology, microbiology, synthetic biology, systems biology or a closely related discipline. Exceptional verbal and written communication skills Ability to work collaboratively and work independently without close supervision Experience with bacterial genetic engineering and transcriptomics or metabolomics Desirable Experience with growing cyanobacteria and their physiological characterisation (flow cytometry or photosynthetic efficiency) Understanding of the fundamentals of biofoundry automation We invite applications from international candidates. This role will require a police/criminal history check. *Please note that applications will be reviewed as they are received on a rolling basis, and we reserve the right to progress or decline an application prior to the application closing date.* The Faculty of Science and Engineering at Macquarie University has a goal to increase the engagement of women, Aboriginal and Torres Strait Islander peoples, and people from diverse backgrounds in STEMM roles. Applications are considered holistically, and candidates are encouraged to apply even if their experience does not meet each individual selection criterion. Role Enquiries: Distinguished Professor Ian Paulsen, via e-mail ian.paulsen@mq.edu.au Applications Close: Wednesday 8th of July 2026 at 11:59pm (AEST) Pre-Employment Checks Macquarie University cultivates a workplace defined by safety, ethical conduct, and strong integrity. Prior to completion of an offer of employment, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. Your employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University. A Place Where You Belong At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework. Flexible Work At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage our personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.

The Role and Department Dynamic and vibrant, Durham University Business School is one of Durham University's four Faculties and is comprised of four research-intensive departments: Accounting, Economics, Finance, and Management and Marketing. Known for its global reputation, its impact on policy and practice and its strong focus on ethics, responsibility and sustainability, the school aims to be a leading European business school with a strong global presence by 2027. The school currently has 180 academic and teaching staff, with plans and resource commitments to grow to 230 by 2027. In addition, 11 funded research centres ( ) blend leading theoretical perspectives with a strong emphasis on impact and engagement with practice, noted in. The school's student population is around 4,000, across undergraduate, postgraduate and research programmes. Our vision is to lead business thought and practice to improve global wealth and well-being. Our associated mission is to create, share and use knowledge to deliver equitable and sustainable futures around the world. We pursue this mission by advancing world-changing knowledge and securing global impact through increasingly collaborative research across disciplines and around the world. Our department is part of the triple-accredited Business School, home to academics whose research is internationally renowned for intellectual rigour and for the benefits it brings to the society. We work closely with business partners around the world, sharing insights, supporting innovation, and educating tomorrow's leaders. More details about our research, teaching, and business connections can be found on our website.

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.06.2030 Reference no.: 5729 Your personal sphere of influence: The research group Data Mining and Machine Learning at the Faculty of Computer Science is looking for highly motivated research assistant, PhD candidate. We are offering an excellent working environment in a young, creative and international team. As a member of the Data Mining team, under the supervision of Assoz. Prof. Christian Böhm, you will contribute to fascinating data mining projects offering the possibility to take over responsibility at an early stage, to publish the results at leading international conferences and to exchange ideas with international and interdisciplinary cooperation partners. We provide intensive support during course of your dissertation. Your future tasks: You actively participate in research, teaching & administration, which means: Participation in research projects / research studies Participation in publications / academic articles / presentations We expect you to finalize your dissertation agreement within 12 months. You work on your dissertation and its completion. Participation in teaching and independent teaching of courses as defined by the collective agreement Supervision of student´s project´s and theses Involvement in the organization of meetings, conferences, symposiums Involvement in the department administration as well as in teaching and research administration The research should focus on clustering methods, especially deep clustering and representation learning for complex and high-dimensional data. This is part of your personality: Bachelor's and master's degree, both in Computer Science with excellent marks. Excellent command of English Very good mathematical understanding Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python Strong ability to work in teams Perseverance and ability to make things done High motivation to publish at the top-level conferences Willingness to travel, including participation in national and international conferences Basic experience in academic writing and with research methods Didactic competences / experience with e-learning Desireable knowledge: You should be a team player with high social skills Experience in eye-tracking applications for the analysis of dyslexia. Experience with clustering, representation learning, deep learning. Experience with applications of data mining methods to real data from various domains. Experience in university teaching Experience in scientific writing International experience 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) increases if we can credit professional experience. Tenure: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: Scientific curriculum vitae Letter of motivation including project ideas Abstract of Master's Thesis Master´s Degree / Diploma, Degree Certificates Transcript of records of BSc- and MSc studies List of publications, evidence of teaching experience (if available) If you have any content questions, please contact: Christian Böhm christian.boehm@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: 06/16/2026 Prae Doc