288 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Germany
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between metacognitive ability and learning, in the motor domain. (More information about the project is available under https://metamotorlab.filevich.com ). Therefore the Institute is hiring a student
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comprehensive interdisciplinary approach to study learning and memory mechanisms at different levels of the brain organization – from molecules to single cells and local circuits to complex networks. Studying
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, and contribute to peer-reviewed publications Where to apply Website https://xfel.hr4you.org/application/applicantRegisterCvAnalyzerGenerator/upload… Requirements Research FieldPhysics » OpticsEducation
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or complementing traditional physics-based approaches by data-driven ones, using Machine-Learning (ML). Such approaches allow enormous gains of time, in a way that can be related to the astonishing efficiency
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, for event reconstruction and classification, including potentially machine learning/AI Interpretation in suitable theoretical models Contribution to software activities that are required for wider use by DESY
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learn, the ability to work independently, and excellent teamwork skills Our Benefits for You We work on the very latest issues that impact our society and are offering you the chance to actively help in
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
or Nextflow, or a strong willingness to learn • Enthusiasm for interdisciplinary research and learning across scientific domains • Initial experience in interdisciplinary collaboration is a plus • Self
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Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research | Karlsruhe, Baden W rttemberg | Germany | 3 months ago
constitutes most of the recorded signal. Additionally, identification of quite periods is of interest for applying ambient seismic noise interferometry. Machine learning (ML) offers a promising solution to
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, Germany. The postdoctoral researcher will play a central role in designing and conducting behavioral and neuroimaging studies aimed at testing the EESR theory of learning-related plastic brain changes. Key