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research project “Cities. Building. Culture – The Residential Heritage of the Soviet Union in Times of Multiple Crises” funded by the Federal Ministry of Education and Research (BMBF). This international and
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 3 months ago
Analysis of experimental results Expertise in spectroscopic measurements and/or Scanning Probe Microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a
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Expertise in spectroscopic measurements and/or scanning probe microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a team Background in electronic
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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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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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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well as job prospects in academia and industry. The successful candidate will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program. Technical queries
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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