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act with attention to quality, integrity, creativity and cooperation. You can show good modelling and/or programming skills (ideally in C++, Julia and/or Python). Affinity or experience with space and
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging
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of these limitations and to test it in a real building. The final objective is to provide thorough documentation of the scalable MPC workflow and test case. The supervision team is Prof. Laurent
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criteria for the position. Preferred selection criteria Familiar with SPSS, STATA, R, or Python for quantitative analysis Knowledge of NVivo or Atlas.ti for qualitative data analysis Personal characteristics
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requirements for admission to the faculty's Doctoral Programme You must have good written and oral English language skills Experience with programming in Python or similar languages
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the group of Ass.-Prof. Dr. Matthias Kempe , Head of Data Analytics in Sport at the Biomechanics, Kinesiology and Computer Science in Sport unit of the Department of Sport and Human Movement Science
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team of Prof. Dr. Stephanie Fiedler who leads MiRadOr. Your tasks: You will be responsible for performing and analysing measurements for the field campaign, including launching radiosondes during
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Supervisors: Prof. Reinhard Maurer (Chemistry), Prof. Richard Beanland (Physics) Understanding how local atomic structure and long-range emergent magnetic and electronic properties in defective 2D
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ecology with an emphasis on conservation biology. Your immediate leader will be the Head of Department. About the project The team of supervisors will consist of Ass. Prof. Kristine Bakke Westergaard (main
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. As part of the SPP, the SoilEnergySpots project is jointly led by Prof. Dr. Nicole Strittmatter (Analytical Chemistry), Prof. Dr. Mirjana Minceva (Biothermodynamics), and Dr. Steffen Schweizer (Soil