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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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, developmental trajectories, regulatory programs, and spatial organization relevant to CNS development and disease. Performing multi-omic and cross-modality analyses, including integration of transcriptomic
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group. We invite applications from researchers with a background in numerical simulations of galaxy formation and evolution and/or star formation. The positions are offered for two years. The starting
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we develop and study new generations of electronics based on advanced semiconductor technology. In particular, we develop and characterize new generations of electronic and optoelectronic devices based
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-Driven Life Science (DDLS) and is based at SciLifeLab Stockholm and KTH. We develop and apply computational approaches for cancer precision medicine, with a particular focus on understanding the molecular
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to develop a flux chamber to capture aerosols emitted from stream surfaces and quantify aerosol fluxes using online particle counters and air filtration for laboratory measurements of ice-nucleating particles
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between research facilities in Europe. Two to three reaction cells based on the most promising designs will be developed and tested at major European synchrotrons. All results (CAD models, performance data
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cross-university and cross-disciplinary collaboration investigate the future of intellectual property in the light of current developments within generative AI. This postdoc will primarily work in the
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the properties of semiconductors and functional materials using advanced computational methods. About us The Division of Condensed Matter and Materials Theory at the Department of Physics and Astronomy develops
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Subject description The subject of the position is organic chemistry at the interface with chemical biology. The research concerns the development of a modular chemical platform for targeted protein