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of the research areas with list of potential supervisors, list of training opportunities, programme details, description of the different stages of the selection process, and detailed instructions
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: Postdoc: Ph.D. in Materials Science, Physics, Chemistry, Mechanical/Electrical Engineering, or related field PhD candidate: Strong Master’s/Diploma degree with very good grades Experience in materials
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opportunities, programme details, description of the different stages of the selection process, and detailed instructions for the application process, including templates, timelines and FAQs, are available via
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of intermediate complexity to investigate the climate of the Paleoproterozoic, interact with colleagues in the GOE-DEEP science team working on biogeochemical modelling to design and tests different scenarios
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of intermediate complexity to investigate the climate of the Paleoproterozoic interact with colleagues in the GOE-DEEP science team working on biogeochemical modelling to design and tests different scenarios
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of student researchers What you contribute Ph.D. in Electrical and Computer Engineering, Computer Science or related program Background in Information Theory, ideally with significant prior publications in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 30 days ago
results in peer-reviewed publications and at international conferences Your Profile PhD in oceanography, marine sciences, physics, geosciences, climate sciences or related field Experience in ocean
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Researcher in Computational Linguistics / Cognitive Science (m/f/d, E13 TV-L, 100%) The position will be filled for a fixed term of three years. Payment is at 100% of pay scale E13. The position is associated
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 2 months ago
power to support the ambitious theoretical, modeling, and data-driven objectives of the proposed work. Job requirements Applicants should hold a PhD in biology, physics, engineering, or a related field
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contribute Completed an excellent doctorate in computer science Proven track record of excellent publications Expertise in cryptography and/or machine learning Leadership capabilities and ability to mentor