365 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Prof"-"UCL"-"St" positions in Austria
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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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Tenure-Track Professor in the field of. Sociology with focus on Quantitative Social Science Research
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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A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training (PhD Certificate, PDF) positions held to date career
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to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training
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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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Agreement 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
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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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of life 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
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multivariate statistics and data clustering Experience in research management and leading project staff IT skills, including programming (preferably Python) for data analysis and visualization Didactic skills
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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