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of the key methods of these fields (e.g. programming, statistical analysis, interviewing, ethnography). • Knowledge of OR interest in these areas: o Critical data studies o Interdisciplinary and mixed
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(ViDSS) and its structured doctoral program. The ViDSS promotes innovative, excellent, problem-oriented research that contributes to initiating social debates and tackling major global challenges
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qualification with excellent grades An excellent command of English (spoken and written) A strong interest to work in process mining (experience is preferred but not required) Good programming skills, preferably
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personality: A completed Master's degree in Data Science, Physics, Chemistry, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, R, or similar languages. Experience
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: Application documents should include: letter of motivation including time plan for doctoral thesis milestones that will be achieved in the duration of the short-term contract academic curriculum vitae including
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the team! It is that easy to apply: Application documents should include: letter of motivation including time plan for doctoral thesis milestones that will be achieved in the duration of the short-term
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• Outstanding dissertation • IT skills and outstanding competence in multivariate statistics. • Outstanding competence in the programming language R. • Experience in teaching statistics. • Research
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: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge
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related fields Basic knowledge of programming (preferably Python; R or MATLAB also accepted with willingness to switch) Experience in quantitative data analysis Interest and/or experience in landslide
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heterostructure samples. Basic skills in scientific programming and open-source transmission electron microscopy software are an advantage. Excellent command of written and spoken English (C1 Level or equivalent