214 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in Germany
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power systems in the CoSES lab at the Technical University of Munich. Previous Work https://mediatum.ub.tum.de/doc/1731060/g5zgxaj96lcyhh8gh6le1xbuu.Wetzlinger-2023-TAC.pdf https://mediatum.ub.tum.de/doc
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Hannover http://www.uni-hannover.de/en/jobs Application Materials Required: Submit the following items online at this website to complete your application: Cover letters (optional) Curriculum Vitae Research
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Hannover Institut für Algebra, Zahlentheorie und Diskrete Mathematik Welfengarten 1, 30167 Hannover http://www.uni-hannover.de/en/jobs Application Materials Required: Submit the following items online
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kinetic mechanisms and key elementary reactions involved. Addressing this shortcoming is the goal of this project. Please visit the DFG research unit description for more information on the topic https
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, Dark Matter and Axion Physics , Elementary Particle Physics , hep , hep-ph , HEP-Phenomenology (hep-ph) , High Energy Physics , High Energy Theory , Machine Learning , Neutrino physics , Particle
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of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster of Excellence TERRA CIN LEAD Graduate School
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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machine learning algorithms Strong communication skills and ability to work in interdisciplinary teams Fluency in spoken and written English We offer: A dynamic and interactive research environment as
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine