1,547 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Germany
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laboratories Based on the complexity of the project, motivation to learn new skills to expand scientific knowledge High degree of analytical working style Excellent communication skills and ability to work in an
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
website: https://www.fz-juelich.de/en/pgi/pgi-7 and the website for the mentioned project (in German): https://neurosys.info/projekte/ Your Profile: Completed qualification for enrollment in the project
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about the program (including further application instructions), please visit: https://www.mpg.de/en/max-planck-postdoc-program . To submit your application online, please visit: https
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Max Planck Institute of Animal Behavior • | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 15 hours ago
the University of Konstanz Teaching language English Languages The entire course is taught in English. German is not required, but it is recommended to learn the German language so as to increase integration
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
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Systems, Tübingen/Stuttgart in Germany. Together we want to build a lighthouse for machine learning and modern artificial intelligence in Europe. The cooperation spans all levels, from leading experts
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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experience with NMR and wet-lab chemistry Willing to work within a multidisciplinary and collaborative research environment Curiosity and excitement to learn Good knowledge of spoken English Our Offer: We work
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mind for learning new technologies is particularly encouraged to apply. Your Profile: We are looking for a highly motivated and enthusiastic individual with: a master’s degree, diploma, or an equivalent