EU Business School, Barcelona - Diagonal Campus

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 Opportunity We are seeking a highly motivated Research Technician to join an exciting translational oncology programme focused on improving precision approaches to cancer treatment. Working within a multidisciplinary research environment, the successful candidate will support laboratory and translational activities underpinning an innovative cancer research programme with strong clinical relevance. This role offers the opportunity to work closely with researchers and clinicians involved in advanced cancer biology, experimental therapeutics, and translational research. The postholder will contribute to the establishment and maintenance of experimental systems, processing of clinical samples, and generation of high-quality research data to support programme development. The position is ideally suited to an individual who enjoys hands-on laboratory work, thrives in collaborative environments, and is interested in contributing to clinically impactful research. The Role The Research Technician will support the day-to-day laboratory and technical activities of the programme, including: processing and handling clinical research samples establishing and maintaining experimental cell culture systems supporting functional laboratory assays and data generation maintaining accurate laboratory records and sample tracking systems contributing to optimisation and standardisation of laboratory workflows assisting with laboratory organisation, stock management, and equipment maintenance supporting compliance with health and safety and research governance procedures The role will involve close interaction with researchers, clinicians, and laboratory staff across the wider translational research team. What we are looking for We are looking for an organised and enthusiastic individual with strong technical skills and attention to detail. Essential: Vocational qualification, A-levels, HNC/NVQ3, or equivalent laboratory experience  Practical experience in laboratory techniques, particularly mammalian cell culture  Ability to follow established protocols accurately and consistently  Experience maintaining organised experimental records  Good organisational and communication skills  Ability to work effectively both independently and as part of a team  Strong attention to detail and commitment to high-quality laboratory practice  Desirable: Degree in a biological or biomedical science discipline  Experience working with primary biological samples or translational research material  Familiarity with molecular or cellular biology techniques  Experience in cancer, biomedical, or translational research environments  Experience with flow cytometry, imaging, or related laboratory techniques  Experience using databases, spreadsheets, and laboratory data systems The Environment The successful candidate will join a collaborative multidisciplinary research environment spanning: translational cancer biology  clinical oncology and surgery  molecular profiling and computational analysis  The programme provides access to established infrastructure, and strong translational support and opportunities to contribute to clinically relevant research activities. Why this role is different This is an opportunity to contribute to a translational research programme designed to bridge laboratory science and future clinical application. Rather than supporting isolated experiments, the successful candidate will become part of a collaborative effort focused on developing research approaches with clear potential clinical impact. The role offers excellent experience for individuals interested in: translational cancer research  advanced laboratory techniques  clinically aligned biomedical science  future progression within research or technical specialist careers Informal enquiries For informal discussion of the role, please contact the Innovation for Translation Research Group leads: Professor Zoë Walters (Z.S.Walters@soton.ac.uk) Professor Tim Underwood (T.J.Underwood@soton.ac.uk)

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an  University assistant predoctoral 34 Faculty of Law Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5732 More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: As a university assistant prae doc you will complete the research team around Prof. Dr. Christian Koller in civil procedure law. In addition to your independent research, you will contribute to publications and projects, hold independent and supportive courses, supervise students and be involved in organisational activities (conferences, symposia, etc.). The employment durations 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 declaration of non-extensions. Your future tasks: You actively participate in research, teaching and administration, which means: You are involved in research projects and publications. You participate in the organisation of conferences and symposia. You work on your dissertation and its completion. We expect you to finalize your dissertation agreement within 12-18 months. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching. This is part of your personality: Completed Diploma in the field of law Very good academic record, excellent knowledge on civil procedure law (presentation of a transcript of records mandatory for applictation) Interest in academic writing Experience in academic writing and with research methods A focus on civil procedural law is desirable Comprehensive knowledge in the conception, organization, and implementation of moot courts, particularly in the field of arbitration law, is desirable High ability to express yourself both orally and in writing Excellent command of written and spoken English Excellent command of written and spoken German IT user skills: MS Office Ability to work in a team Knowledge of university processes and structures preferable What we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are part of a young, dedicated team researching and teaching in the field of Austrian and international civil procedure law in a healthy and fair working environment.  Good public transport connection: Your workplace in the center of Vienna is easily accessible by public transport. Internal further training and coaching: Opportunity to deepen your skills on an ongoing basis. Equal opportunities for everyone: We look forward to diverse personalities in our team! Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. It is that easy to apply: With your scientific curriculum vitae With your letter of motivation With your ideas for a prospective doctoral project proposal With your diploma With your transcript of records Via our job portal / Apply now-button If you have any questions, please contact: Christian Koller christian.koller@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: 06/14/2026 Prae Doc