240 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in Germany
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institution dedicated to infection research and a member of the Helmholtz Association. For 60 years, HZI has been at the forefront of the fight against infectious diseases. We welcome a broad spectrum of
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Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content (Veterinary) biomedicine (project-related courses), interdisciplinary basic sciences coursework, key
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three Master's programmes (Biochemistry, Biomedicine, and Biomedical Data Science). MHH is part of the IDOH (Infectious Diseases and One Health) Master's programme. A structured doctoral programme for
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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Chemistry, Biological Oceanography, Marine Geosciences and Marine Observations work on an interdisciplinary basis in a joint research program. The Leibniz Institute for Baltic Sea Research Warnemünde has a
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International Graduate School of Life Sciences (RIGeL) offers a well-structured PhD programme for young scientists in the field of Life Sciences. The PhD programme assures a high quality education. PhD students
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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for the PhD programme must have successfully completed a university course of study in veterinary medicine, medicine, dental medicine (state examination), biology, biochemistry, chemistry or in another field
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming