188 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Munich in Germany
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programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures
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educational activities. Requirements: PhD in a related discipline and additional experience in a genomics, proteomics or metabolomics laboratory and a strong publication record. Extensive theoretical knowledge
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will develop into acute or chronic infection. Your expertise - PhD in life sciences, preferably (liver) immunology and/or viral hepatitis. - Experience in high-dimensional flow cytometry for phenotyping
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PhD degree in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and
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02.02.2022, Wissenschaftliches Personal The Faculty of Informatics at the Technical University of Munich intends will fill a position at the earliest as Scientific Researcher (m/f/d) – 100%, TV-L
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cooperation with the other scientists is a prerequisite. Your profile: You have a PhD, work experience and several publications in the field of solid oxide cells. In addition, fluent written and spoken English
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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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(PhD) in life science - Knowledge of immunology and oncology or virology - Special knowledge of flow cytometry and GLP - Ability to work in an international team - Innovative and creative thinking - Very
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
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of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text