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or multilayer networks, applied to biological data • Familiarity with HPC environments is highly desirable • Programming skills in R, Python or equivalent • Excellent communication skills in English
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High command of written and spoken English IT user skills Ability to work in team What we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part
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with signed doctoral thesis agreement Excellent academic and study records Excellent command of written and spoken English High ability to express yourself both orally and in writing Excellent team
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to collaborate; Strong English communication skills. These skills would be an advantage: • Experience with Lagrangian transport models; • Expert knowledge of programming, preferably in Python and/or Fortran
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technical field. Good knowledge in Automation & Control, Motion Planning Programming experience in Python and/or C++ ROS-knowhow is advantageous Willingness to work at both our locations in Vienna (main
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Learning Programming experience in Python / C++, MATLAB Knowledge of PyTorch is advantageous Good knowledge of English or German in word and writing What to expect: Duration of the master’s thesis project: 6
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scientific debates and relevant theories and methods. Your personal sphere of influence: With the sowi:docs Fellowship Programme the ViDSS currently offers two positions for doctoral candidates in the social
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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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or related fields Successful VBC PhD program Selection or similar international PhD Selection required Practical experience in single-molecule biochemistry Experience with basic bioinformatics tools High
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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