University of Navarra

Role type:Full Time, Fixed Term for 2 years Faculty: Faculty of Science Department: School of Mathematics and Statistics Salary: Academic Level A.6 - $110.319 p.a. plus 17% super Lead innovative research, bridge quantum computing and omics and shape future of data analysis Apply now to advance the frontier of quantum biotechnology and integrative omics analysis Investing in you - 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 opportunity As a Postdoctoral Research Fellow in the L Cao lab, you'll spearhead method development at the exciting intersection of quantum computing and integrative omics. You'll have the opportunity to design, evaluate, and benchmark quantum-inspired computational approaches for analysing high-dimensional biological datasets. Working within the ARC Centre of Excellence in Quantum Biotechnologies (QUBIC), you'll contribute to groundbreaking research, collaborate with leading experts, and shape a new direction in quantum-omics integration. Your responsibilities will include: Lead Methodological Research: Develop innovative quantum-inspired algorithms for omics data analysis and multi-omics integration. Produce High-Impact Outputs: Deliver internationally competitive research through publications, conference presentations, and reproducible software. Foster Collaborations: Work closely with lab members and external partners to translate methodological advances into applied analyses and usable tools. Support Research Training: Co-supervise PhD and masters students, providing guidance on research design, analysis, and scientific communication. You may be a great fit if: You are a highly motivated researcher with a PhD in a relevant field, demonstrating expertise in both omics data analysis and quantum computing methods, with a passion for developing innovative computational approaches to solve complex biological problems. You may also: Have a PhD in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline. Demonstrate research capability in methods development relevant to quantum computing and omics. Possess experience in analysing high-dimensional biological data and applying quantum computing methods to data analysis. Have an active GitHub profile evidencing ongoing code development and contributions. 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: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - "L Cao lab, Melbourne Integrative Genomics (MIG)"https://sites.research.unimelb.edu.au/integrative-genomics| https://lecao-lab.science.unimelb.edu.auL Cao lab is part of Melbourne Integrative Genomics (MIG), which has been established in 2017 and is an initiative to strengthen the involvement of statisticians in the advances being made in genomics and computational biology. MIG is an interdisciplinary research centre for the application of maths/stats/computing techniques to omics profiling data to help understand genotype-to-phenotype process in humans and other organisms. MIG includes 50+ members, and provides a wide range of opportunities for exciting research collaborations. The Parkville precinct has the greatest concentration of biological and medical research in Australia, and is among the greatest internationally.http://www.ms.unimelb.edu.auThe University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We believe 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 reasonable adjustments throughout. We warmly encourage applications from people with disabilities. For assistance, please contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Contact details for other enquiries are located at the bottom of this page. Find more information for applicants requiring reasonable adjustments. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Our Indigenous strategy, Murmuk Djerring outlines our investment and support for Aboriginal and Torres Strait Islander staff and students. Indigenous applicants are encouraged to connect with "Korin-Korin" our Indigenous Employment & Development team at oied-hr@unimelb.edu.au for further information and support. Please note: Visa sponsorship is available for this position. A Working with Children Check (WWCC) is required for all positions. If successful, we'll guide you through the WWCC application process during onboarding and reimburse the cost. Join Us and unlock your career potential If this role is right for you, please apply with the following documents: Resume Cover Letter outlining your interest and experience The responses against the following Selection Criteria^ 1. PhD (or equivalent) in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline.2. Demonstrated research capability in methods development relevant to quantum computing and omics, evidenced through PhD work and associated outputs (for example publications, preprints, software, or technical reports), relative to opportunity.3. Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing, quality control, and interpretation of results.4. Demonstrated experience applying or developing quantum computing methods relevant to data analysis (use of simulators acceptable), with clear understanding of limitations and appropriate evaluation.5. Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions Learn more about the application process, including tips and FAQs. For recruitment queries, email Anna at hr-careers@unimelb.edu.au. Include the Position Number and Job Title in the subject line. Please do not send applications to this email address. For job-specific queries, refer to the contact details in the Position Description. Applications close: 6 April 2026. 11:55 PM; Melbourne time zone. Position Description: JR-009383 Research Fellow Quantum Omics_PD.doc.docx JR-009383 Research Fellow Quantum Omics_PD.doc.pdf

Part time (0.80 FTE) fixed term 3 years at Camperdown Centre Program Manager role supporting Digital Health Research Base Salary $103,185- $111,237+ 17% superannuation About the opportunity At the University of Sydney Susan Wakil School of Nursing and Midwifery (Sydney Nursing School)we integrate teaching, research, and scholarship with practice and policy development, while fostering engagement with all health professions. We are seeking an experienced Health Services Research project manager for the an exciting new Centre Program Manager position to support Melissa Baysari and the team in operational management of a new NHMRC Centre of Research Excellence (CRE). The "CRE in Human Factors and AI-enabled Clinical Decision Support" is being led by the Digital Health Human Factors Group. You will work on managing multiple CRE research projects and capacity building initiatives related to the design and implementation of clinical decision support systems. Your key responsibilities will be to: perform operational project management support activities that contribute to the planning, establishment and smooth delivery of multiple research projects and capacity building initiatives within the CRE in Human Factors and AI-enabled Clinical Decision Support coordinate the collation, analysis and preparation of CRE data, documentation and research materials, ensuring all information is accurate and readily accessible for multidisciplinary project teams assist in mapping key CRE resources required for project commencement and ongoing delivery of research and capacity building initiatives coordinate detailed project and work stream plans, tracking activities and task implementation to ensure they align with overarching CRE goals and research priorities set by Chief Investigator Professor Melissa Baysari and collaborators monitor CRE activities, deliverables and research milestones across the three-hub collaboration (University of Sydney, Macquarie University and the University of Sunshine Coast), proactively identifying issues, risks or deviations and enabling timely escalation or corrective actions facilitate all project logistics, including scheduling stakeholder meetings, organising cross‑university workshops, coordinating investigator availability and arranging venues or virtual platforms as required assist to develop and maintain collaborative working relationships with internal and external partners, fostering effective communication and shared understanding across hubs assist in project financial management, including monitoring research budgets, preparing financial reports, tracking expenditure across multiple institutions and identifying emerging financial risks or constraints set up and manage stakeholder meetings across the three‑hub Centre, including preparing agendas and briefing materials, coordinating attendance, capturing action items and supporting follow‑up activities About you bachelor degree in a relevant discipline (health related desirable) and/or equivalent experience supporting complex health services research programs demonstrated experience engaging and collaborating with diverse internal and external stakeholders, including researchers, clinicians, technology partners and cross‑university teams experience providing project management support within health services research, digital health or related multidisciplinary environments proven experience monitoring and managing budgets and expenditure across multi‑stream or multi‑site projects, including preparing financial reports and supporting resource planning strong organisational and time management skills, with the ability to coordinate multiple concurrent projects, deadlines and stakeholder requirements proficiency with the Microsoft Office suite, including advanced Excel skills for data analysis, tracking and reporting self‑motivated and proactive, with the initiative to streamline processes, identify opportunities for improvement and enhance the effectiveness of project operations. 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 Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. 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. 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 Cecilia Blamey, Recruitment Operations by email to cecilia.blamey@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Sunday 22 March 2026 11:59 PM

Ref.: 534630 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Professoriate Staff Research Assistant Professor in the Department of Pharmacology and Pharmacy (Ref.: 534630) We now invite applications for the captioned post. Duties and Responsibilities Design and conduct research on the epidemiology and pharmacoepidemiology of age-related diseases, including osteoporosis, sarcopenia, frailty, and other endocrine and metabolism related diseases. Lead research projects investigating the genomics, proteomics, and metabolomics of osteoporosis and related diseases. Publish original research articles in high-impact journals. Secure external competitive grants. Engage in collaborative projects both internally and externally. Supervise and co-supervise undergraduate and postgraduate students. Perform other duties as assigned. Requirements A Ph.D. degree, preferably in epidemiology, pharmacology, bioinformatics, data science, or related fields. At least 2–3 years of postdoctoral research experience is preferred. Strong background in big data analytics, machine learning, and multi-omics. Strong track record of high-quality research, demonstrated by publications and successful grant applications. Excellent project management and organizational skills. A high sense of responsibility and research integrity, with the ability to work independently, collaboratively, and under pressure. What We Offer The appointment will commence as soon as possible on a 1-year temporary basis. A highly competitive salary commensurate with qualifications and experience will be offered, with the possibility of renewal up to 3 years subject to satisfactory performance and funding availability. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from March 19, 2026 and continue until May 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency