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applications and to better understand disease mechanisms. We also work with mammalian cell line development, where systems biology, OMICS methods, and CRISPR/Cas9 are important tools. Supervision: Johan Rockberg
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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given area by combining integrated sensing and communications (ISAC) data from infrastructure and devices. The goal is to develop methods that efficiently share spectrum while protecting incumbents
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methods in breast cancer diagnostics, with a particular focus on cancer screening and artificial intelligence. Located at the Skane University Hospital (SUS) Malmö, Diagnostic Radiology and LUCI are both
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about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for environmental monitoring Mathematical statistics Description
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world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is
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noble-metal tellurides. The researcher will work together with PhD students, postdocs, and a research engineer, to perform the experiments. Description of the work duties: to perform synthesis
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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employees. More information can be found here . Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods
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algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and