127 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "J" positions at University of Vienna
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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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to apply your creativity and previous knowledge. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual
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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
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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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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 months. This will
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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 agreement within 12
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related to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R
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(DoSChem) – Austria’s largest doctoral training program in chemistry. DoSChem brings together more than 200 doctoral students and over 50 PIs, fostering interdisciplinary and curiosity-driven research