41 bayesian-inference-tracking positions at Technical University of Munich in Germany
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training and inference algorithms for specific edge hardware platforms. Implement and test models on neuromorphic hardware. Contribute to research proposals and funding applications. Publish and present
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cars. • Optimise AI training and inference algorithms for specific edge hardware platforms. • Implement and test models on neuromorphic hardware. • Contribute to research proposals and funding
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Lösungen für inverse Probleme in der diagnostischen Biomechanik beizutragen, mit besonderem Schwerpunkt auf Elastographie. Das Projekt baut auf unserem kürzlich entwickelten Weak Neural Variational Inference
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Lösungen für inverse Probleme in der diagnostischen Biomechanik beizutragen, mit besonderem Schwerpunkt auf Elastographie. Das Projekt baut auf unserem kürzlich entwickelten Weak Neural Variational Inference
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coherence, optical), including cross-modal fusion and modality distillation • Design a causation analysis framework combining deep learning with causal discovery & inference to quantify the influence
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analytical skills for model formulation and optimization Demonstrated research potential, ideally with a track record of publications in relevant venues (journals such as IEEE T-ITS, INFORMS Transportation
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07.10.2025, Wissenschaftliches Personal We are looking for an outstanding, self-motivated postdoctoral researcher. The candidate should have a strong track record and experience in intestinal
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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or
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-established and highly visible track record of the laboratory in the analysis of plant growth processes regulated by AGC1 kinases. The Chair of Plant Systems Biology has strong expertise in all relevant