98 programming-languages-"the"-"CNRS"-"U"-"Humboldt-Stiftung-Foundation" positions at University of Vienna
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ecology, with emphasis on biodiversity and ecosystem functioning, targeting effects of global and climate change. University-intern structures and programs, such as the Vienna Doctoral School of Ecology
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Tenure-Track Professor in the field of. Sociology with focus on Quantitative Social Science Research
in German sufficient for teaching in bachelor's programmes and for participation in university committees. We offer: the opportunity to obtain a permanent position and eventual promotion to full
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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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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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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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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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analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and evaluation strategies for large amounts of data (such as programming languages Python and/or R
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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