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Requirements: completed scientific university degree (e. g. Master's or Diploma) in physics, mathematics, computer science or a related field knowledge of information field theory and in the development and
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from models. Your Qualifications / Experience: • A Bachelor or Master in computer sciences, engineering, physics, mathematics, or a related discipline • Work experience in data management and scientific
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Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
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, domain generalization, data-efficient learning, uncertainty estimation, 3D vision. Especially suitable for students with the field of study in computer science, mathematics, engineering, or similar areas
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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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The Faculty of Mathematics and Computer Science at the University of Göttingen invites applications for a temporary professorship with civil servant status (grade W1 NBesO) with tenure track (grade
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
clarity amid complexity, ruthlessly prioritize, and deliver compelling results on a timeline. You ensure mathematical science initiatives run smoothly, collaborations are cultivated, and internal operations
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 4 days ago
: Dresden, Saxony 01307, Germany [map ] Subject Areas: Artificial Intelligence, Machine Learning, Applied Mathematics, Biomathematics, Mathematical Biology, Computational Science, Statistics, Numerical
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to the table Study of mathematics, computer science, physics, engineering or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas