25 bayesian-object-detection PhD positions at Technical University of Munich in Germany
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the collection and processing of personal data as part of your application. By submitting your application, you confirm that you have taken note of TUM's data protection information. Find out more about us at
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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scientific significance and public health relevance. The specific objectives of the project will be developed in relation to the candidate’s experience and interests but has a strong cell biology
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the identity and plasticity of regulatory T (Treg) cells, in the context of autoimmunity. The primary objectives include: • to compare central Treg cell identity and function programs between mice and men in
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any detected failures, which can assist a systematic exploration of the design space for providing applicable solutions. Providing applicable solutions involves optimizing the design space taking
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Wood Science" promotes the innovative and sustainable use of wood-based materials and products through research, teaching and development projects. About the project: The objective of the work is to
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of these networks - but how well they perform this task depends on the architecture of the network. We want to discover the physical principles of how vein networks self-organize their architecture - encoded by
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detection. One highly promising direction NV-based nano- and microscale nuclear magnetic resonance (NMR) spectroscopy. In our lab, this quantum sensor based NMR spectroscocopy is applied to life sciences as
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platform for early detection of cardio-metabolic diseases as well as characterization and classification of skin diseases. You will be part of our highly impactful research programs funded by European and
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types, their content, and also the relationships between the individual objects. To apply for this position, the candidate should possess in-depth skills in programming and hands-on training and