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Field
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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the methodological approaches to the requirements of the data set Your qualifications: (at start of employment): MSc in geophysics, physics or computer science/mathematics or related disciplines Experience in
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mathematics, computational materials science or a related field, or other education considered equivalent to these qualifications. We require good oral and written skills in English. Additional qualifications
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/casa-sdl-dbe Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science
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computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong interest in interdisciplinary research at the interface of natural
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neuroscience, computational neuroscience, translational neuroscience, psychology, medicine, neurobiology, computer science, biological engineering, medical engineering, mathematics, physics, neuroimaging
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV) / Sorbonne Université in Paris (France), two of Europe’s largest institutions in the field of...
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@itwm.fraunhofer.de If you have any questions regarding the application process: Isabelle Dieckhoff - isabelle.dieckhoff@itwm.fraunhofer.de Fraunhofer Institute for Industrial Mathematics ITWM www.itwm.fraunhofer.de
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Engineering, Information Systems, Mathematics, or a related field. Strong knowledge of software engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills