344 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "J" uni jobs in Austria
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- mdw - University of Music and Performing Arts Vienna
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including time plan for doctoral thesis milestones that will be achieved in the duration of the short-term contract academic curriculum vitae including list of publications and conference attendances a
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plan and organise professional development courses You collaborate with the AECCs Biology and Physics You take on administrative tasks in research, teaching and administration. This is part of your
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experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! How to apply: Application documents should include: letter of motivation including time plan for doctoral
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aerosol and cloud physics - laboratory and field work Experience with in-situ aerosol measurement techniques and airborne aerosol measurements Excellent programming skills, especially with Python, ideally
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aerosol and cloud physics - laboratory and field work Experience with in-situ aerosol measurement techniques and airborne aerosol measurements Excellent programming skills, especially with Python, ideally
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curiosity-driven research project in the field of machine learning in computational materials science. You will present your research plan to the faculty and complete a dissertation agreement within 12-18
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involved in a curiosity-driven research project in the field of electronic structure theory and ultrafast quantum dynamics. You will present your research plan to the faculty and complete a dissertation
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responsibilities: You will be actively involved in academic teaching, research and administration. Your responsibilities include: Independently conducting courses in Bachelor´s and Master´s degree programs in
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statistical methods and programming (preferably R) Experience and interest in the work with large-scale ecological and environmental data sets Excellent written and oral communication skills in English (and
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statistical methods and programming (preferably R) Experience and interest in the work with large-scale ecological and environmental data sets Excellent written and oral communication skills in English (and