217 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral research jobs in Germany
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- King's College London
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- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Astronomy, Arua, Uganda
- Max Planck Institute for Biology Tübingen, Tübingen
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- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Infection Biology, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Nuclear Physics, Heidelberg
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- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- Ruhr University Bochum
- Universitaetsklinikum Erlangen
- University of Bonn
- University of Duisburg-Essen
- University of Greifswald
- University of Paderborn
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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in vitro platforms and humanized mouse models Your Profile: Required qualifications: PhD in virology, immunology, or a related field Degree in life sciences, human medicine, or veterinary medicine In
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of improved genetically encoded hypoxia reporters REQUIREMENTS: The candidate must hold a PhD in life sciences (obtained no longer than 3 years ago) A strong interest and experience in confocal and / or
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international journals Presenting at national and international scientific conferences Applying for research funding in the field of pancreatic cancer Your Profile PhD in Biology, Medical Research, or a related
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or Python Machine learning methods (for the baseline prediction for the reward funds) is beneficial We expect: Strong motivation to contribute to policy-relevant research Strong interest in teamwork and
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completed scientific university education (Master's/Diploma) with PhD in horticulture sciences, agricultural sciences, biology environmental protection or a related field in-depth knowledge of organic
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on the design and evaluation 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
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(e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Green hydrogen is key to decarbonizing many hard
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of epithelial plasticity in kidney repair to contribute to the preparation of scientific publications, grant applications and presentations to contribute to teaching in Biomedical Sciences (Master programme
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soon hold) a PhD degree in Linguistics or a similar Language Science area are eligible for the role. The ideal candidate for this position has: a solid background in formal linguistics, particularly