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of geoscientists, biologists, and computer scientists at the Universities of Tübingen and Hohenheim and the Senckenberg Institution of Biodiversity and Earth System Research in Frankfurt, investigating how
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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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studies have demonstrated the limitations of current ground- and satellite-based observational networks. The PhD project aims for a new method to derive ground-level concentrations from satellite-based
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
/Qualifications What you bring: An excellent Master’s degree (or comparable) in Electrical Engineering, Computer Science, Computer Engineering, Automation Engineering, or Aerospace Engineering with a strong
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Computer Engineering, or a related field Very good programming skills in Python as well as experience with common ML/LLM frameworks A
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functionality and control product assurance of control electronics of the BECCAL laser system in interaction with flight hardware - evaluate FPGA-development according to current scientific state of the art
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
of Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology invites applications for a JUNIOR PROFESSORSHIP (W1, with tenure-track option to W3) Probabilistic Methods in Machine
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
, therapy monitoring, and precision medicine. Your profile Master’s degree in physics, electrical engineering, mechanical engineering, biomedical engineering, medical technology, optics, mechatronics
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, and physical systems. The successful candidate will contribute to cutting-edge research at the intersection of artificial intelligence, computational science, and engineering. Current Research
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job