274 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Germany
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- Hasso Plattner Institute;
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- Institute for X-Ray Physics, University of Göttingen
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- Max Planck Institute for Astronomy, Arua, Uganda
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- Max Planck Institute for Brain Research, Frankfurt am Main
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- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Evolutionary Biology, Plön
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
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- Max Planck Institute for Nuclear Physics, Heidelberg
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- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Biophysics, Frankfurt am Main
- Max Planck Institute of Colloids and Interfaces
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr
- Ruhr University Bochum
- Technische Universität Berlin
- UNIVERSITÄT DUISBURG-ESSEN
- Universitaetsklinikum Erlangen
- University of Duisburg-Essen
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guidance and support for employees, doctoral candidates and students Your Profile: Master`s degree with subsequent PhD in theoretical physics or a similar field Background and strong interest in developing
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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 algorithms, and
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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hosts. The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an
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://mediatum.ub.tum.de/doc/1696192/aab7jokzk7x4paq7m2y9pa2p6.Wetzlinger-2022-NAHS.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related
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, the China Scholarship Council (CSC) and the DAAD have offered a joint programme to support Chinese postdocs since 2013. Who can apply? Outstanding graduates from Chinese Universities and institutes. What can
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, trauma and history are entangled. Job description: In close coordination with the project management and the other project staff, the computer-assisted analysis of interviews with Holocaust survivors will
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches