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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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Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating
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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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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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publish it as your PhD thesis. Your team Your WUR supervisors will be Dr. Paul Smeets and Prof. Dr. Ciarán Forde (Sensory Science and Eating Behaviour chair group). Dr. Davide Risso, external research
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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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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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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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English, please add a translation in one of the mentioned languages. Optionally: one or more reference letters, … More information For more information about this vacancy, please contact Prof. Katleen De
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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