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to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, the Junior Professorship in Applied Mathematics offers a position as Research Associate / PhD Student (m/f
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, the Junior Professorship in Applied Mathematics offers a position as
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the Mathematical Institute for Machine Learning and Data Science (MIDS) at the KU Eichstätt-Ingolstadt and is funded by the High-Tech Agenda of Bavaria. The advertised position is funded via the Emmy Noether project
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position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA (at least finished before
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
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algorithmic topics, including mentoring of M.Sc., B.Sc. or Diploma students Requirements: a university degree (M.Sc. or equivalent) or imminent M.Sc. degree in Computer Science, Mathematics, or a closely
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed to achieve the following training
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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of M.Sc., B.Sc. or Diploma students Requirements: a university degree (M.Sc. or equivalent) or imminent M.Sc. degree in Computer Science, Mathematics, or a closely related field research experience