114 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions in Austria
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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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research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. • You will work on your dissertation and towards its completion
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-funded research project dedicated to quantum machine learning for photonic platforms, bridging theoretical foundations with practical implementations. • You will present your research plan
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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, or similar
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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
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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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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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archival research, and thereby contribute to the project aims with a thematic focus on either: patient engagement with programs to prevent drug-related disability in health care systems in Western welfare