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, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov
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presentation of results at scientific conferences, Teaching courses and supervising of student theses YOUR PROFILE University master's degree in geophysics or physics, above-average, with ideally good knowledge
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Decision Sciences, Technion - Israel Institute of Technology. The candidate is expected to conduct research and advance knowledge in the topic of court operations using methodologies from the fields
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. graduation shortly) Internships or other professional experiences Profound knowledge in strategic management, finance and accounting, and programming skills are an advantage Excellent analytical and language
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research and knowledge transfer Independent, creative and committed way of working Ability to think conceptually and analytically Excellent English skills Ideally, good knowledge of German Our offer: We
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will soon obtain the degree are also welcome to apply) - strong background in machine learning - proficiency in Python programming - experience with molecular simulations and knowledge of statistical
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
, and no knowledge of German is required. This is a full-time PhD position with a competitive salary according to the German TV-L E13 scale (approx. €52,000–€75,000 gross per year, depending on experience
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have • A graduation in molecular/ cell biology, biophysics, food science or related field • Advanced knowledge and practical experience in molecular/ cell biology, and in cell culture techniques • Basic
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representation theory. • Some experience with SageMath, polymake or other related mathematical software. • Proficiency in English, both written and spoken. Knowledge of German is not required. In addition
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relevant profession-al practices in many academic professions. Subproject B05 examines how group characteris-tics (in terms of motivation, prior knowledge, and personality traits) and collaborative processes