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Degree PhD (Division of Mathematics and Natural Sciences) or, alternatively, Dr rer nat Course location Göttingen In cooperation with Max Planck Institute for Multidisciplinary Sciences (MPI-NAT
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artificial intelligence, biology, (cognitive) neuroscience, genetics, linguistics, mathematics, neurobiology, neuroimaging, neurology, neurophysics, philosophy, physics, psychiatry, and psychology
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, mathematics, or a related field Very good skills in the English language Strong background in at least one of the fields relevant for research at ConVeY: Control theory Formal methods in computer science
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institution of the Departments of Business Administration and Economics, Mathematics, Physics, and the Center for Mathematical Economics at Bielefeld University. As an umbrella organisation of several
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science, applied mathematics, or a closely related field. Experience or interest in
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, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is not required
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addition, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is
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biomedical engineering). Flexible start date! What You’ll Need A first-class or upper second-class honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD