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- Postdoctoral Researcher in Computational Biology and Machine Learning at Uppsala University
Postdoctoral Researcher in Computational Biology and Machine Learning at Uppsala University
UPPSALA UNIVERSITETUppsala län, Uppsala
Previous experience is desired
74 days left
to apply for the job
The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on, among other things, cancer, genetic, and autoimmune diseases. One of the core principles of the department is to stimulate translational research and thereby promote closer collaboration between medical research and healthcare. Research is conducted within six research programs: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration, and vascular biology. The department has teaching assignments in several degree programs, standalone courses, and international master's programs within the Faculty of Medicine. The department's turnover is approximately 550 million SEK, of which about two-thirds are external research grants. The number of employees is approximately 400, of which about 100 are PhD students, and there are a total of over 850 active members in the workforce. Read more about the department's activities here: www.uu.se/medarbetare/institution/immunologi-genetik-och-patologi (https://www.uu.se/medarbetare/institution/immunologi-genetik-och-patologi)
Job Responsibilities
- Develop new computational, machine learning, and statistical analysis methods to integrate and analyze large-scale, spatially resolved RNA sequencing and genotype data using state-of-the-art technology.
- Develop data analysis strategies, write algorithms, and distribute computational tools for exploring very large datasets.
- Develop a resource for the community that provides access to collected data.
- Collaborate closely with experimental colleagues and cores to understand the nature of the generated data.
- Actively participate in the preparation of manuscripts for publication and present at scientific conferences.
- Provide mentorship to colleagues and students.
- Share expertise and provide training and guidance to group members as needed.
Qualification Requirements
- A PhD degree in computational biology, statistics, applied mathematics, computer science, or a related discipline is required, or a foreign degree deemed equivalent to a PhD in the same field. The degree must be completed by the time the employment decision is made. Primarily, candidates who have obtained their degree no more than three years ago will be considered. When calculating the three-year timeframe, the application deadline is the starting point. If there are special reasons, such a degree may have been obtained earlier. Special reasons include leave due to illness, parental leave, trust positions within trade unions, etc.
- Previous experience with Bayesian inference, graphical models, multivariate models, and image analysis is preferred, but exceptionally creative and driven researchers with interest and adaptability will be considered seriously.
- Strong oral and written communication skills, data documentation, and presentation skills are required.
- Experience in writing scientific articles for publication is required.
- The ability to handle multiple projects simultaneously is required.
- Excellent collaboration and interpersonal skills, as well as a willingness to work in a fast-paced team environment, are required.
Merits
- Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant to the current role; strives to expand the depth and breadth of technical and professional skills; works with high integrity; demonstrates focus and discipline; prioritizes appropriately, manages expectations, and delivers commitments.
- Collaborative and Communicative: Models collaboration and teamwork; brings out the best in others; works effectively with all levels, internally and externally; respects and embraces diversity of perspectives; communicates clearly and listens carefully; uses good judgment regarding what to communicate and when.
- Adaptable and Innovative: Adaptable and embraces change; develops new insights and strives for improvements and efficiency; promotes the exchange of new ideas and is willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity.
About the Employment
The employment is fixed-term for 2 years according to the central collective agreement, with the possibility of a 1-year extension. The scope is full-time. Start date according to agreement. Location: Uppsala.
Information about the employment is provided by: Sanja Vickovic, [email protected] (mailto:[email protected])
Welcome to apply by June 1, 2026, Ref: UFV-PA 2026/861
Note that this is a shortened version of the advertisement. To see the full advertisement, please click "Apply here" or visit Uppsala University's website: https://uu.se/jobb/ (https://uu.se/jobb/)
Uppsala University is a broad research university with a strong international standing. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who, with curiosity and engagement, make Uppsala University one of the country's most exciting workplaces.
Read more about our benefits and what it is like to work at Uppsala University: https://uu.se/om-uu/jobba-hos-oss/ (https://uu.se/om-uu/jobba-hos-oss/)
The employment may be subject to security clearance. In the event of security clearance, a condition for employment is that the applicant is approved.
We decline offers of recruitment and advertising assistance.
Applications are received in Uppsala University's recruitment system.
Trade Union Representatives: Saco-S - [email protected] (mailto:[email protected]), Seko - [email protected] (mailto:[email protected]), ST (OFR/S) - [email protected] (mailto:[email protected])
Open to All
We focus on your competence, not your other prerequisites. We are open to adapting the role or workplace to your needs.
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