239 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Germany
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- 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
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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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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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Family-friendly working conditions (certificate “audit berufundfamilie”) Supporting of mobility with a jobticket for using the public transport Easy accessibility by public transport or car (including free
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transcriptomic and single-cell analysis of organoid models and patient biopsy samples. What you bring to the table PhD in biology, biochemistry, molecular biology, cell biology, immunology, or related discipline
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programme. What will be your tasks? The position focuses on the co-design and co-development of a monitoring assessment and policy framework for mitigating changes in marine lightscapes. You will be part of a
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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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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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
discoveries in scientific journals and international conferences Working in collaboration with PhD students and research technicians Qualifications and skills Completed university degree and PhD in the field
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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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