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Postdoc in Causal Inference and Natural Language Processing Norrkoping Reference number IEI-2026-00561 We have the power of over 50,000 students and co-workers. Students who provide hope for the
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, and each robot must interpret its surroundings well enough to judge risk on its own. Vision and language foundation models can support this kind of interpretation, but they rarely model the physics of
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. Experience in experimental cell biology, programming, biophysics, image analysis, genomics or data analysis is considered meritorious. The project will be conducted in a multidisciplinary research
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-performance programming language such as C++, Rust, or Julia. Experience working with large-scale scientific datasets, image processing, computational imaging, tomography data analysis, or data compression
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foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Strong written and verbal communication skills in English Proficient in a programming
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, programming, running, and analyzing large-N surveys and survey experiments, making strong survey research skills essential to the position. The postdoctoral fellow will be expected to develop and
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): Analysis of omics-data or other large-scale biomedical data types Machine-learning and statistical modelling Mechanistic models of biological systems Python, R or equivalent programming environment
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computational biology, bioinformatics, or a related field. You should be highly familiar with Unix/Linux and at least one programming language such as Python, R, C, or C++. Strong collaboration skills and
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, hydraulics/hydrology, thermodynamics (e.g. heat transfer processes) - experience of sensor-based monitoring, field sampling, machine learning, programming as well as working with large environmental
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with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both independently and as part of a team