178 computer-science-programming-languages-"the"-"U"-"The-Netherlands-Cancer-Institute" positions in Austria
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degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge
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/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities to work in a team and excellent
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applicant will be involved, inter alia, in the education of fundamentals in mathematics in all study programs of the faculty, esp. in the Master program Business Analytics. The Tenure Track Professorship in
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), which integrates terrestrial ecosystem research with microbiome science, computational systems biology and environmental pollution research. Active collaboration with these areas is expected. Your
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the Max Perutz Labs: The successful applicant will work in a stimulating scientific environment, the Department for Structural and Computational Biology at the Max Perutz Labs, a research institute
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. 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 such as
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enrolment in the doctoral programme/having passed the FÖP Via our job portal/ Apply now - button If you have any questions, please contact: Daniela Hohenwarter-Mayr daniela.hohenwarter-mayr@univie.ac.at We
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Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 60400-2025-001497 Is the Job related to staff
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The Institute of Science and Technology Austria (ISTA) is looking for highly qualified Bachelor’s or Master’s students in the fields of Astronomy, Biology, Chemistry & Materials, Computer Science
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engineering, energy informatics, or a related field Solid programming skills, ideally in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems