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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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), Max Planck Institute for Dynamics and Self-Organization (MPI-DS) Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral
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dissertation is often written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No application deadline Tuition
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English Languages It is possible to study the whole programme in English. German-speaking students may take elective modules offered in German if applicable and if relevant for their research topics
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) Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please see the
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Science principles. Through programming, consulting, and training, the working group provides flexible support for scientific work in model simulations and data analyses on social and natural science issues
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in finite element modeling with Ansys Mechanical, APDL, and Discovery. You possess very good programming skills in Python. You work independently and in a structured manner. You are reliable, flexible
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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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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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of Expertise: Apply your physics knowledge to create functional program code. Quality Assurance: Fix bugs in the existing code. Documentation: Create and maintain documentation for your work. Team Coordination