Universidade Luterana do Brasil

Role type: Full Time, Fixed Term for 2 yearsFaculty: Faculty of ScienceSchool: School of Mathematics and StatisticsSalary: Academic Level A.6 - $110,319 p.a. plus 17% superPioneer quantum-omics method development in a leading statistical biology lab / shape your independent research profile and publication record / collaborate across QUBIC, Melbourne Integrative Genomics and global interdisciplinary partners.Apply now to drive rigorous, high-impact statistical omics research and shape quantum-enabled analysis of biological systems.Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunityYou will lead statistical and computational methods development for high-dimensional omics and cell-level data at the quantum-biology interface. You will design reproducible software, publish internationally, and build collaborations across QUBIC, Melbourne Integrative Genomics and beyond. What you will deliver:Lead development, evaluation and benchmarking of statistical and quantum-inspired methods for high-dimensional omics and cell-based data.Develop and maintain reproducible research software, workflows and documentation using robust version control and good coding practices.Collaborate with QUBIC partners and interdisciplinary researchers to translate new methods into applied analyses and usable tools.Contribute to funding proposals, project reporting, seminars and conferences that disseminate findings and strengthen collaborations.Support supervision of students and junior researchers, and engage in School and QUBIC service and outreach activities.You may be a great fit if you:Hold a PhD in statistics, computational biology, quantum computing, or a closely related quantitative discipline.Demonstrate research strength in statistical methods development for high-dimensional omics, ideally including single-cell or cell-based data.Possess hands-on experience analysing large biological datasets, from preprocessing and quality control to interpretation of results.Use GitHub or similar platforms for version control, with an active profile showcasing ongoing code development.Show interest or experience in quantum-inspired or quantum computing methods relevant to data analysis and modelling.Thrive in multidisciplinary teams, managing multiple tasks and timelines while communicating clearly with diverse collaborators.For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:Build future financial security with 17% superannuationSupportive flexible work arrangements underpinned by our commitment to inclusion and well-beingCareer development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn LearningProgressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leaveSalary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company Health and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - "L Cao Lab, Melbourne Integrative Genomics (MIG)"You will join the L Cao Lab within Melbourne Integrative Genomics in the School of Mathematics and Statistics. This interdisciplinary centre applies advanced maths, statistics and computing to omics data, tackling frontier biological questions. You will work alongside 50+ researchers and QUBIC partners, benefiting from strong collaborations and world-class infrastructure. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials:Visit "apply with us" to learn more about the process, including tips and FAQs.This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process.A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.Please upload your resume and a cover letter outlining your interest and experience as part of the application process.Please upload your responses to the following Selection Criteria:PhD (or equivalent) in statistics, computational biology, quantum computing, or a closely related discipline.Demonstrated research capability in statistical methods development for high-dimensional omics data (ideally including cell analysis), evidenced through PhD work and associated outputs (for example publications, preprints, software, or technical reports), relative to opportunity.Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing, quality control, and interpretation of results.Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions.Want to know more?For queries related to this specific position and for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.auFor recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').Apply today, and join a community that's shaping the future.Applications close: 10 July 2026 11:55 PM; Melbourne time zone.Position Description: JR-009383 Research Fellow Quantum Omics_PD.docx JR-009383 Research Fellow Quantum Omics_PD.pdf

The University of Vienna is a cosmopolitan hub for  more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an University Assistant postdoctoral (Security & Privacy) 39 Faculty of Computer Science Startdate: 15.07.2026 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 14.07.2032 Reference no.: 5785 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not a given at other institutions. Does that sound like something for you? Welcome to our team! Your personal sphere of play: Your future position will be in the Security & Privacy research group at the Faculty of Computer Science. Researchers appreciate the internationality, the outstanding research projects, the interdisciplinary cooperation and the collegial exchange in our faculty. Our current research focuses on Software Protection, Machine Learning/AI und Security und Security and Privacy of Decentralized Systems and Distributed Ledger Technologies. In the long term, we focus on understanding complex systems in order to recognise fundamental security and privacy problems and on researching and developing solutions that go beyond mere short-term problem solving. Our team currently consists of 19 scientific and 2 administrative colleagues. We attach particular importance to relaxed and respectful cooperation, a collegial atmosphere and an independent way of working. In return, we offer a diverse and interdisciplinary working environment with room for your own ideas. Find out more about us at https://sec.cs.univie.ac.at/ Your future tasks: Active participation in research, teaching & administration, which means: You contribute to research projects and scientific studies in the areas of software protection and mobile security. You build an independent research profile in the areas of reverse engineering on mobile platforms, network security and code obfuscation and deobfuscation. You publish internationally and give lectures. You apply for projects and raise third-party funds. You prepare and complete a publication-ready habilitation. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You supervise your students in courses on technical and organizational security aspects. You participate in evaluation measures and in quality assurance. You are involved in the organization of meetings, conferences and symposia. You will be involved in evaluation measures and quality assurance. This is part of your personality: Must-haves: Completed doctoral/PhD studies in Computer Science Outstanding dissertation Research competence and initiative proven through international publications in peer-relevant media Experience in research management Didactic skills / experience in e-learning Excellent knowledge of German and English Desirable skills: Knowledge of university processes and structures You work independently and reliably Interest in interdisciplinary topics Team player and high social/communicative skills What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). 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 in the center of beautiful Vienna 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. Fixed-term contract and fair salary: This is a 50% position with a fixed term of 6 years (until July 14, 2032). The basic salary of EUR 5,014.30 (on a full-time basis, 14 times a year) increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in our team! It is that easy to apply: With your scientific curriculum vitae / letter of intent With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree Contact details of persons who could provide referece letters Via our  job portal / Apply now - button If you have any content questions, please contact: Edgar Weippl edgar.weippl@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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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: 06/17/2026 Post Doc

Department: School of Business Vacancy ID: 042304 Closing Date: 07-Jul-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an excellent academic to join our staff as an Assistant Professor / Lecturer in Accounting. The person appointed will have a proven record of teaching, research, and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the School and undertake teaching duties on the School’s undergraduate and postgraduate programmes as well as the supervision of Master’s and PhD students. The appointee will be expected to build a strong research profile, that supports the University’s research strategy including affiliating to the Research Institutes where appropriate, and working with colleagues on national and international research. The appointee will be expected to sustain and conduct research, engage in scholarship of quality and substance and generate publications of international standard.  Salary: Assistant Professor / Lecturer: €66,055 – €104,600 p.a. (7 points) Assistant Lecturer: €43,025 – €73,445 p.a. (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Tuesday, 7th of July 2026. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University