454 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Germany
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- cellumation GmbH
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range of machines and equipment. 💪 Involvement: Independent project work and room for innovative ideas in applied research. 🧘 Work-life balance: Benefit from flexible working hours based on trust
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mobile security. You already have knowledge of software development for Apple iOS devices or are interested in learning about it. You are also well versed in reverse engineering. You are fluent in written
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scientific work processes Desirable: - good communication skills - knowledge of the Geographies of Global Inequalities degree program or willingness to acquire them - English language skills (C1
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interaction (HCI), or similar Practical experience in designing and conducting user studies Knowledge of scientific work, including initial experience with Citavi and Latex/Overleaf Interest in solving complex
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-parameter and load-pull measurements of various device geometries and epitactical variations technological computer-aided design (TCAD) to analyze breakdown mechanisms benchmark the RF device performance by
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the life sciences and related disciplines (e.g. biomedical sciences, biology, biochemistry, physics, chemistry, psychology, computer sciences, engineering) Acceptance by an authorised academic supervisor
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to expect: Structured, hands-on training: During your first two years, you’ll complete lab rotations in at least two DIGS-ILS research groups — building skills, learning new techniques, and connecting with
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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simulations and computer programming (e.g., Python and LabVIEW) • Developing back-of-the-envelope estimates for complex physical problems. Applications should be sent by e-mail, together with significant
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comprehensive basic knowledge of cultural studies and the ability to teach this in English. - Support in managing the course via digital platforms (Blackboard or Moodle); - Support in course preparation: research