557 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" scholarships in Germany
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academic environment. Required Documents Required Documents CV Certificates Transcripts Language certificate Motivation letter References Application Application https://www.frankfurt-school.de/en/home/study
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the university The PhD programme does not offer any scholarship opportunities right now. However, the LMU offers divers funding possibilities. Please have a look at the LMU website: https://www.lmu.de/en/workspace
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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formations are of growing economic and societal importance. By participating in a number of externally funded projects, doctoral candidates learn to perform independent scientific work. Through active
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Jyvaskyla University of Manchester Kone Oyi The candidates will have the opportunity to visit various partners in the network, supported by a mobility allowance. At the Chair of Machine Learning for Complex
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to apply Website https://cockpit.as-mediendesign.de/jump1/119988 Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelGood Additional Information Work Location(s
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. BioRxiv 2024; doi: https://doi.org/10.1101/2024.04.15.589474 ). In this PhD project, we will validate these molecules and interrogate their mechanism of action using confocal microscopy, protein chemistry
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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skills work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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-cell genomics data, ideally using tools such as Seurat or Scanpy Enthusiasm for statistical modeling and machine learning to analyze complex biological datasets High level of care and attention to detail