89 parallel-programming-"Multiple"-"Simons-Foundation" uni jobs at UNIVERSITY OF VIENNA
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competence in multivariate statistics. Outstanding competence in the programming language R. Experience in teaching statistics. Research competence and initiative proven through international publications in
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negotiated individually) and an organisational retirement plan a “start-up package”, in particular for the initiation of research projects comprehensive relocation support Application documents: Please submit
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teaching in the fields of aquatic ecology, with emphasis on biodiversity and ecosystem functioning, targeting effects of global and climate change. University-intern structures and programs, such as the
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level and in teacher training. The successful applicant will be expected to teach courses in teacher training programs, particularly in the field of mathematics education (language of instruction: German
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the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues. The programme is organized at the Faculty of Business, Economics
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. Your scientific profile: You must hold a Master's degree, majoring in molecular biology or cell biology You must have successfully passed the selection procedure for the Vienna Biocenter PhD Program
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practices and integrate innovative approaches into the ViCAS programmes. You will coordinate the two other members of the ViCAS operational team - the ViCAS Programme Manager and the ViCAS Communication and
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to diverse personalities in the team! It is that easy to apply: Letter of Motivation (Academic) Curriculum vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List
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teaching, as well as in the teacher training program for Geography and Economic education. The working time of 30 hours/week includes teaching duties of, on average, 13 semester hours per week of teaching
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science training, with experience of the key methods of these fields (e.g. programming, statistical analysis, interviewing, ethnography). Knowledge of OR interest in these areas: Critical data studies