167 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich
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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in psychology, cognitive science or in a similar field of study Research experience in the areas of crowds
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage High motivation to complete the doctorate within three years Very good
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Design, set up, and operate experimental systems for circuit-level measurements and data analysis Your Profile: Masters degree in electrical/electronic engineering, computer engineering, computer science
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Scientific communication of the results (publications, conference presentations) Intense interaction with consortium Your Profile: Master and PhD degree in materials science, physics, chemistry, informatics
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-3/EN/Home/home_node.html or contact us via the contact form. Your Profile: Master’s degree in geography, remote sensing, geoscience, physics, computational geoscience, or related natural sciences
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) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good
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domains: life and medical sciences, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science
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, as well as grant proposals, and present your own work at international conferences Your Profile: Master / Diploma and excellent PhD in computer science, engineering, physics, biophysics, applied