38 computer-science-programming-languages-"the"-"U"-"UCL"-"O.P"-"CERN" positions at Nature Careers in Austria
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of Vienna expects the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and for participation in university committees. We offer: a
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of science and work with supervisors and colleagues that are among the best in the world? The ISTA-Fellow program at the Institute of Science and Technology Austria offers fully funded (two-year) postdoctoral
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the field of applied and computational PDEs in a coherent manner. Current research covers a wide range of applications, including biology, materials science, and astrophysics, and uses a variety of approaches
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across different scales.Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be original and innovative, ideally linking a
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Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities
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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high-quality
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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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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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. 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