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Field
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on this infrastructure, we develop machine learning methods and downstream applications designed to support surgeons and clinical teams in their everyday work. For this position, we are particularly interested in
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regression tasks such as biomass estimation and crop yield prediction. GeoFMs are typically pretrained on large-scale EO datasets using self-supervised learning, enabling them to learn general-purpose
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-methods-for-early-detection-of-prostate-cancer), you will lead the development of an AI agent for treatment selection that combines longitudinal clinical data, imaging, outcome prediction and knowledge
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and
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University of Freiburg (Uni Freiburg) | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
. The professorship must address important biological and medically relevant questions at the molecular level. To this end, experimental and computer-based approaches will be combined and modern computer-based methods
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 2 months ago
for use in research, film, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans
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(m/f/d) in Bioinformatics. Project overview This position offers an exciting opportunity to develop machine learning methods that reveal how biological function is encoded across different kinds
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 3 months ago
throughout the Helmholtz Association. Within HI, the Applied Computer Vision Lab (ACVL) at DKFZ develops state-of-the-art methods for image analysis and machine learning, supports researchers in
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for age estimation, as well as the development of new, robust methods. To this end: Approaches to be implemented and compared: classical point regression, probabilistic regression, and quantile regression