222 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" positions at Technical University of Munich
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companies from all over the world, especially the USA, the UK, and Germany. Your Profile: Excellent university degree in engineering, chemistry, materials science, physics, electrochemistry or a similar
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students). Requirements * PhD degree in Computational biology or related (Computer Science, Physics) or at least 3 years of experience in scientific software development * Experience with NGS data processing
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: Completed master studies in the field of environmental sciences, forestry, landscape ecology, remote sensing or related fields Interested in remote sensing, quantitative methods and programming Prior
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. Leonhardt) as part of the TUM Department of Life Science Systems. Starting date is fall 2025. The position is fixed-term (36 months). Salary scale: TV-L 13, 65%. As part of the assigned duties, there will be
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good knowledge of English and German • Experiences with Research Data Management is an asset • Pronounced scientific and writing skills are a benefit, particularly in science communication The position
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mathematics, computer science, information technology, electrical engineering, physics, mechanical engineering, or a comparable qualification Sound knowledge of mathematics and physics, especially in the fields
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established Bachelor programme „Information Engineering“ in Heilbronn which is taught in English. The Faculty of Informatics at the Technical University of Munich intends will fill a position at the earliest as
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14.12.2022, Wissenschaftliches Personal The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics
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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
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory