98 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at University of Vienna
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strong interest in evolutionary genomics and ecological adaptation; good data analyses skills and programming knowledge (R, Phyton or bash); teamwork, communication and problem-solving abilities
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field; • Excellent programming skills, preferably in Fortran and Python; • A good team spirit and willingness to collaborate; • Strong English communication skills. These skills would be
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Digital Humanities with a focus on network analysis or deep learning Experience with the collection and analysis of data for historical research Experience with programming for the humanities (Python, R
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computer-aided molecular design. Strong knowledge of chemistry, ideally pharmaceutical chemistry, proteins, structural biology, and protein-ligand interaction. Strong background in Python programming
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will independently plan and carry out complex experiments, evaluate the data and interpret the results. You will be involved in publications/academic articles/ presentations We expect you to finalize
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) programming/stats skills (preferably Python, R) are mandatory, and first research experience in designing, running, analyzing (and possibly also publishing, or preparing to publish; see required application
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a specific and well-funded research project, here focused on the nanospectroscopic analysis of layered 2D materials such as transition metal dichacegonides. • You will present your research plan
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(international awards are a plus!). • Teaching experience as well as experience in supervising and mentoring students. • Programming skills (e.g., MATLAB, Python) are essential. • Hands-on experience with