5 bayesian-object-detection Postdoctoral positions at Chalmers University of Technology in Sweden
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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, from medical imaging—where we design advanced tools for diagnosis and decision support—to general vision tasks such as autonomous navigation, image-based localization, 3D reconstruction, and object
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postdoctoral position in data analysis, where you will apply machine learning techniques to understand how resistance genes spread and to help detect infections caused by resistant bacteria. The position is part
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live microscopy with biosensors to detect neurotransmitter release from cells and apply this platform to explore mechanisms of amyloid-b toxicity in Alzheimer's disease. Your work will focus
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collaboration between the AIXLab@Chalmers and Sahlgrenska University Hospital. At the AIXLab, our primary objective is to develop technical solutions that enhance the usability of AI. In partnership with