77 postdoctoral-biomedical-signal-processing PhD positions at Technical University of Munich
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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at the TUM School of Life Sciences PhD studentship (m/f/d): Tree Carbon Allocation to the Rhizosphere and Related Microbial Processes under Severe Drought Join the new EU-funded FutureForests international
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working on NLP for medical applications (see German version below / siehe unten für Deutsche Version) . Your Responsibilities Conduct applied research at the intersection of Natural Language Processing (NLP
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, Biomedical Research, Bioengineering, or a related field, with a particular focus on molecular, cellular, or neurobiology • Strong motivation for biomedical research and ability to work independently • Solid
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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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well as in signal processing - High level of communication and teamwork skills, willingness to travel to the Middle East as part of a team - Structured and independent way of working with high self-motivation
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(MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field
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. Postdoctoral placement at a top institution/with an active research group/professor (for those interested in the academic track). Placement in a leading research NGO/think-tank/multinational company (for those
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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on