232 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Germany
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- ; Technical University of Denmark
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- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- Technische Universität München
- University of Duisburg-Essen
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Field
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and supervise students REQUIREMENTS: PhD degree in life sciences (completed no longer than 2 years ago) Strong interest in single molecule localization microscopy methods Experience in cell and
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collaboration and mutual learning access to high-performance computing a chance to contribute meaningfully to an ambitious research agenda focused on creating positive impacts for global society and future
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not
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Your Profile: Very good university degree (Master) in the fields of chemical engineering, process engineering, chemistry, material science or a comparable discipline with PhD Broad expertise and the
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
the Excellence Cluster of Immunosensation2 in Germany (www.immunosensation.com). Requirements: PhD degree in life sciences (biology, biomedicine, immunology or comparable studies) Scientific background in
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Partnership Your qualifications: PhD in environmental / agricultural science, (rural) sociology, human geography, political sciences, or related subjects Knowledge of transdisciplinary approaches and methods in
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, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination
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based architecture with 2D-connectivity Migration to industrially fabricated devices Your Profile: Master and PhD in physics or a related field In-depth experience with quantum control experiments
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort