364 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Prof"-"UCL"-"St" positions in Austria
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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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Scientific Computing focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving
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. This means: • You are involved in a well-funded research project with the research topics in quantum foundations and space-time physics. • You will present your research plan to the faculty and complete
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. This means: • You are involved in a well-funded research project with the research topics in quantum foundations and space-time physics. • You will present your research plan to the faculty and complete
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take on administrative tasks in research, teaching and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent
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an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic
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conditions in a city with a high quality of life an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application
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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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• 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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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