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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models
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Linköping Referensnummer IFM-2026-00054 Work assignments We are looking for a postdoc who is motivated not only by solving established problems, but by exploring new ways of formulating them
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is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four strategic areas: cell and