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://www.academictransfer.com/en/jobs/359394/phd-in-multi-modal-ai-for-uav-b… Requirements Specific Requirements A master’s degree in Electrical Engineering, Computer Science, Artificial Intelligence or in a strongly related
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of microbiology (mycology), biochemistry, analytical chemistry, and multivariate data analysis, which will be combined with work on grapevine and innovative biological protection strategies. The program and the
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 17 hours ago
neurosensory science, hearing research, communication technology and auditory rehabilitation within the Cluster of Excellence "Hearing4all". We provide a structured, three-year doctoral programme focusing
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22 Jan 2026 Job Information Organisation/Company LSPM , CNRS 3407 Research Field Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Microengineering Physics
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19 Mar 2026 Job Information Organisation/Company Vrije Universiteit Brussel (VUB) Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Other Medical sciences
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semesters Beginning Winter semester Application deadline https://www.en.idk-philologie.uni-muenchen.de/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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(SBiK-F Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 Mar 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract
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possible. Applicant Profile Applicants should have a university degree in physics, physical chemistry, or biophysics (or near completion). Experience with computational science, programming (C/C++ or Python
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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, more effective health policies for all. The doctoral training programme offers: Core training in health economics, causal inference, micro-econometrics, health inequalities, epidemiology, and healthcare