65 programming-"the"-"DAAD"-"EURAXESS"-"Prof"-"UCL"-"IDAEA-CSIC" positions at UNIVERSITY OF VIENNA
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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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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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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 a single PDF
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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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leading project staff IT skills, including programming (preferably Python) for data analysis and visualization Didactic skills and experience with e-learning platforms What we offer: Work-life balance: Our
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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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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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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
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The University of Vienna plans to expand the existing Research Data Management services by offering discipline-specific support through a new Data Stewardship program tailored to meet the discipline-specific needs