206 machine-learning "https:" "https:" "https:" "U.S" Postdoctoral research jobs in Germany
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- Technical University of Munich
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- University of Tübingen
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- Max Planck Institute for Demographic Research (MPIDR)
- Charité – Universitätsmedizin Berlin
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- Johannes Gutenberg University Mainz
- University of Greifswald
- University of Potsdam, Faculty of Sciences
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- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
- Christian-Albrechts-Universitaet zu Kiel
- Cluster of Excellence ROOTS
- Constructor University Bremen gGmbH
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- European Magnetism Association EMA
- European XFEL
- FBN Dummerstorf
- GSI Helmholtzzentrum für Schwerionenforschung
- Georg August University of Göttingen
- Georg-August-Universitat Gottingen
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Hereon
- Karlsruhe Institute of Technology
- Max Delbrück Center
- Max Planck Institute for Chemistry, Mainz
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Plant Breeding Research, Cologne
- Max Planck Institute for Solar System Research, Göttingen
- Max-Planck-Institut für Physik
- Senckenberg Gesellschaft fuer Naturforschung
- University of Bayreuth
- University of Bonn
- University of Bremen
- University of Cologne
- University of Duisburg-Essen
- University of Potsdam, Faculty of Science
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Field
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at international conferences Ability to work in a team Goal-oriented and structured approach to work Independent working style and commitment Willingness to learn and interest in interdisciplinary applied research
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of Medicine as well as the University of Colorado Boulder. Scientists from your group will join cross-institutional lab meetings and have the option to visit collaborators on-site to acquire new technical
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and modern data-analysis workflows Experience with unsupervised learning, clustering, and integrative analysis Ability to translate computational findings into meaningful biological and translational
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within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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advantageous Good communication and information behaviour, goal-oriented and structured way of working Ability to work in a team and willingness to cooperate, willingness to learn We offer: Attractive and modern
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stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning and provide
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opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our