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to the faculty committee of the Doctoral School within one year after coming to Vienna (Faculty public presentation). You independently teach courses in the BA program (proseminar, case study), one course per
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evaluation strategies for large amounts of data (such as programming languages Python and/or R) are required to fulfill the tasks. The employment level of 40 hours/week includes an average teaching obligation
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for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training (PhD Certificate, PDF) positions
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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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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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. 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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and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent command of written and spoken English (C1 level
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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 documents (in
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join our accomplished team! Your personal sphere of influence: The newly established Vienna Doctoral College on Digital Humanism invites applications from outstanding candidates eager to shape the future
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or master's degree in law, ATTENTION: Applications by students who finish their studies in June/July will be accepted. The degree must be presented before starting the position Methodological skills: Knowledge