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of Munich and conducted across research groups, with other PhD students working on related topics of natural haz-ard management in mountain areas. You will specifically use remote sensing and simulation
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. The PhD student will work under the supervision of Prof. Voets and in close collaboration with Prof. Wouter Everaerts from UZ Leuven’s urology department. The research team has a strong track record in
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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Functionality, Implementation and Demonstration is currently searching for the second cohort of PhD candidates starting in Spring/Summer 2025. This program is an international collaboration between
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synchrotron X-ray characterisation of solution-processed semiconductor films Supervisor: Prof. Chris McNeill, Department of Materials Science and Engineering (Email: christopher.mcneill@monash.edu ) For further
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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by Prof. Holger Voos. Additionally, this industrial project will be conducted in partnership with the Proximus company as part of the IPBG ATLAS program. This PhD project aims to develop a solution for
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at matthes@tum.de More Information https://wwwmatthes.in.tum.de/pages/1t01rhntceuvs/Three-PhD-Positions-in-the-Area-of-Natural-Language-Processing-for-Medical-Applications
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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15th August 2025 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in Development of Aluminium Batteries for Stationary Energy