220 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" positions at Technical University of Munich
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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production concepts shall be investigated. You should hold a MSc. or Dipl. degree in aerospace or mechanical engineering well above average and you should have experience in designing, building and testing
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, chemistry, materials science, or materials engineering, or a closely related field · Experience with cellulose and its processing technologies e.g. fiber spinning, extrusion, as well as characterization
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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, support
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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04.05.2025, Academic staff We look for a motivated bioinformatician/computational scientist or postdoctoral candidate from the life sciences with experience in single-cell analyses who contributes
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present them at international conferences Collaborate closely with researchers at TUM and partner institutions in Brazil Requirements A Master’s degree in physics, computer science, Earth system sciences
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characterization and application in biological tissue. Working across this entire pipeline offers a rare opportunity to help shape a technology from its earliest foundations through to its first biomedical use cases
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characterization and application in biological tissue. Working across this entire pipeline offers a rare opportunity to help shape a technology from its earliest foundations through to its first biomedical use cases
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in