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of responsible electronics in an ecologically, economically, and socially sustainable manner. In research and academic programs, the university unites the natural and engineering sciences with the humanities
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the irradiation resistance of innovative materials but also directly feed into the consortium’s utilization plan involving industrial partners. The developed methods are also transferable to other material systems
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
topics that focus on the interplay between genetics, metabolism, and information processing. Specifically, the projects in the limits2vision programme aim to systematically unravel the mechanisms
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well as AI/programming is desirable, but not mandatory Prior experience in the development of high-throughput screening platforms is an advantage High motivation for pursuing a PhD within 3 years Excellent
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you in your work with: HEALTH & WELL-BEING: Your health is important to us. You can look forward to a comprehensive company health management programme with a wide range of options, including a beach
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team of neuroscientists, computer scientists and clinicians Your Profile: Excellent university degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python
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Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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network of passionate young scientists in Munich. WHAT DO WE OFFER? A structured PhD program created by Munich-based Max Planck Institutes and Universities with English as the main language Individual
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 3 months ago
Researcher (R3) Country Germany Application Deadline 16 Oct 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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developing a digital twin, employing machine learning and numerical computations of atomistic processes. At IKZ, a kinetic Monte Carlo tool has been developed in the programming language julia. This allows a