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, Shiny, Plotly). Applications: Experience with biomarkers and epidemiological studies: survival analysis, longitudinal modeling, multivariate analysis, and Bayesian statistics. Experience with statistical
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learning or deep learning, preferably with transformer architectures Experience in probabilistic modelling or Bayesian statistics Programming skills in Python, preferably with PyTorch or similar frameworks
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multi-objective optimization problem, where selection strives to balance the costs and benefits of different traits to optimally position organisms in a high-dimensional trait space. You will explore
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considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. Uppsala University is a broad research university with a strong international position
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can find more information about us here . The advertised position will be located within the Microbiology and Immunology program , which is the largest program at the department. It comprises seven
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initiative giving you access to advanced training in data-driven life science, national workshops, and a wide network of PhD students and researchers across eleven Swedish universities. Find out more on the
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, magnus.lundgren@scilifelab.se. Please submit your application by 25 Mars 2026, UFV-PA 2026/654. Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and
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, magnus.lundgren@scilifelab.uu.se. Please submit your application by April 6 2026, UFV-PA 2026/770. Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and
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your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers here . Application procedure The application should be
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command of English in both speech and writing, and ability to communicate in a professional, objective and transparent way with personnel and users. Other specific qualities and qualifications of merit