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16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant
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), which focuses on the development and application of an integrated economic-biophysical framework to assess the role of digital tools and technologies. Candidates for both positions will be interviewed by
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platform for early detection of cardio-metabolic diseases as well as characterization and classification of skin diseases. You will be part of our highly impactful research programs funded by European and
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interdisciplinary and international teams and have programming skills. In addition, you are able to express yourself confidently both orally and in writing in English. What we offer We offer a three-year contract
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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
for neuroscience applications Are you intrigued by synthetic biology and aspire to contribute to the elucidation of memory encoding mechanisms within brain circuits through molecular imaging at the highest
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general. We are particularly interested in candidates who are passionate about data science and its applications to address the social and ethical challenges for the responsible and trustworthy application
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of metrology for environmental applications, and monitoring greenhouse gas and pollutant emissions using atmospheric measurements and inversion models. We are looking to expand our team from September 2023
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for food applications, through high-performance microbial bioprocesses (“precision fermentation”) and tissue-engineered cultured meat from animal cells. Requirements We are looking for applicants with a
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01.10.2024, Wissenschaftliches Personal TESTTEST The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and
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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We