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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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or diploma in physics, biophysics, applied mathematics, chemistry, or a relevant engineering discipline Strong motivation to study motility of microswimmers and develop computational models Good programming
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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further opportunities for interdisciplinary training. For more information about the research and study program, visit: https://www.lai.fuberlin.de/en/temporalities-offuture/index.html Job description
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languages used: C++ 2014, CUDA, Lua Desirable: - interest in high-performance computing with graphics processors (GPUs) and simulation methods - fluent knowledge of modern C++ and a scripting language
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are held in English. Participants can choose to write their doctoral theses in English or German. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline There is
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 28 days ago
-computing resources (e.g., at the MPCDF ). The institute leads or is involved in many large science collaborations and surveys, including SDSS-V, Euclid, 4MOST, VRO/LSST, JWST, and MeerKAT + JVLA programs
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program in computer science, electrical engineering, mathematics, or a comparable field of study Good knowledge of the Python programming language Solid knowledge in at least one of the following areas
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Full-time / part-time full-time Programme duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Flexible, but usually in spring or autumn Application