89 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions in Austria
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on a topic relevant to the department, such as fertility and family, mortality and health, migration, or population analysis and human capital. The candidate should present a clear personal work plan for
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. Method development: Develop and optimize pulse programs and parameter sets for organochemical, biochemical, and materials applications; support the implementation of full automation workflows
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programme of the Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (VDS PhaNuSpo) and to sign a doctoral thesis agreement within 12-18 months after being employed. The position is
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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teach seminars supporting students with their Bachelor’s thesis as well as various (including research-led) seminars within the Master’s programme (e.g. seminars supporting students to develop a thesis
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within the Master’s programme (e.g. seminars supporting students to develop a thesis proposal). You will take on administrative tasks, particularly in the administration of teaching. We expect you to keep
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sciences, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of noncoding RNA Proven ability to publish in leading international journals Excellent
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, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of noncoding RNA Proven ability to publish in leading international journals Excellent communication
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well as evaluation procedures. This is part of your personality: You must have: A completed doctoral/PhD degree in astronomy/astrophysics A proven track record in scientific programming in software development teams
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. This is part of your personality: Master’s degree in Data Science, Computational Biology, Bioinformatics, Chemical Engineering, Systems Biology, or a related field. Good programming skills in Python, R