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for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine
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and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations affect dynamic systems such as turbulence, water waves, and compressible
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of at least 2 reference persons. A copy of the master thesis (in PDF) Attachments must be uploaded as separate files. If the attachments exceed 30 MB, they must be compressed prior to upload. It is the
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fluctuations affect dynamic systems such as turbulence, water waves, and compressible fluid motion. The research will focus on hyperbolic-parabolic partial differential equations, nonlinear wave equations, and
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without triggering autoimmunity. To address this, our research program heavily focuses on studying T and B cell population dynamics through intravital 2-photon imaging and the role of secreted immune
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of high-affinity antibodies without triggering autoimmunity. To address this, our research program heavily focuses on studying T and B cell population dynamics through intravital 2-photon imaging and the
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research program heavily focuses on studying T and B cell population dynamics through intravital 2-photon imaging and the role of secreted immune metabolites in these dynamics. The successful candidate will
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed