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to resources and support for designing own doctoral research project within the AgriPoliS group Opportunity to join the IAMO Graduate School and to participate in the German Doctoral Certificate Program in
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to the partner laboratories. Requirements: university and PhD degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills
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At the Fraunhofer Institute for Laser Technology ILT, we may not be developing swords against the dark side of the Force, but our developments often sound like science fiction. This is because we
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available in the further tabs (e.g. “Application requirements”). Programme Description Since 1997, the Heinrich-Böll-Foundation supports graduates from Latin America through its Sur-Place Programme in Mexico
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, physics, or similar, with a strong Machine Learning or simulation background In depth practical experience in at least one programming language (preferably Python) Ideally, some practical experience in
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. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch
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in teams Good language skills in English Good communication skills Ability to be on-site approx. once per week Especially suitable for students with the field of study in computer science, mathematics
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astronomy, physics, computer science or equivalent degree Solid background in star and planet formation or small bodies of the solar system Experience in hydrodynamics and/or N-body simulations in the star
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well as technology-based, psychological assessment Good knowledge of item response theory Proficient use of statistical software (particularly R) Publication experience in English, peer-reviewed journals