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. International publications. Adherence to the principles of open science. Distinct communication, presentation, and team leadership skills. Proactive, results-oriented, and independent working style. Willingness
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wie möglich besetzt More Information https://www.ias.tum.de/ias/research-areas/fundamental-natural-and-life-sciences/in-cell-19f-nmr-of-protein-interactions/
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physical, computational and data science, resulting from a close collaboration between ECMWF and the members of the European Meteorological Infrastructure, will contribute to a safe and thriving society In
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into real-world applications in Geriatronics. Your Profile PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field. Proven experience in
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returned. Data protection information in accordance with Art. 13 DSGVO available internally at TUM. Contact OrganizationTechnical University of Munich – TUM School of Engineering and Design – Institute
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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or other structural biology techniques - Ability to work in an interdisciplinary (combining structural, molecular, cellular and theoretical approaches) and international team of researchers - Fluency in
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to program in the statistics framework R, and have worked in Python and Java Knowledge of metabolomics or chemistry will be an advantage Our benefits: Excellent working conditions in an international
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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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• You have a degree (Master’s or equivalent) in Civil Engineering or Mechanical Engineering with a strong focus on continuum-solid mechanics and computational methods. • You have experience in and