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theory, statistical inference, and probabilistic modelling for uncertainty quantification in deep learning, particularly large language models. The focus will be on quantifying and evaluating uncertainty
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, processing and statistical analysis of experimental data, and publishing and presenting research results in scientific journals and at conferences. The successful candidate will also participate in doctoral
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qualitative and/or quantitative research methods. Experience with surveys, interviews, and/or statistical analysis. Proficiency in written and oral communication in English. Experience of collaboration with
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in one or more of the following areas are considered an advantage: Biogas processes, Modelling and/or programming, statistics, Swedish language skills About us: The positions are based
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of three divisions: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Mathematics ranges over many different areas of mathematics, from algebra, geometry and
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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data with computational modeling Programming skills in Python, R, or another relevant language. Interest in machine learning, statistical modeling, structural bioinformatics, or analysis of large-scale
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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills
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R and/or Python, with experience in data integration and statistical analysis. Exposure to RNA therapeutics or functional genomics approaches is an advantage. Strong interest in interdisciplinary