24 computational-physics-"https:"-"https:"-"https:"-"https:"-"UNIVERSITE-VERSAILLES" PhD positions at Technical University of Munich
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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knowledge of the German language besides English. If interested, please send your full application to the email adress provided below. At the Mechanics & High Performance Computing Group, there is an open
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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spectroscopy to tackle challenges in photophysics and photochemistry as well as in material sciences. (https://www.ch.nat.tum.de/dynspec/startseite/). We work with (time-resolved) fluorescence, excitation and
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of helicopter components using a data-based as well as a physics-based approach. In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed in cooperation with Kopter
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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16.08.2023, Academic staff The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant (m/f/d) in
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, data-centric research, and applications to scientific and medical imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track