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, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols
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development within the proposed project . Teaching duties up to 20% is included and this includes supervision of advanced-level students. Requirements PhD degree in Computational Science, Numerical Mathematics
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infrastructure. This full-time position focuses on building robust data pipelines, optimizing analytical workflows, and integrating mass spectrometry proteomics data with multi-omics platforms. You will play a
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. Within this platform, the ADME of Therapeutics (ADMEoT) — also known as Uppsala University Drug Optimization and Pharmaceutical Profiling (UDOPP) — operates as a specialized unit in the Department
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extensive interests in population genetics and human evolution, providing numerous opportunities for collaboration with postdocs and PhD students working on related projects. The program is also part of
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– protein interactions or enzyme optimization. Main responsibilities The successful candidate will use and develop methods within one, or preferably multiple, of the following categories: Sequence library
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maintaining systems and services, building scalable pipelines, optimizing performance, and ensuring high quality in both data and models. We are looking for individuals who are passionate about technology and