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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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. The IMPRS-KIR is a research-driven PhD programme based in the history and philosophy of science, technology, and medicine (HPSTM). It is a collaboration between the Max Planck Institute for the History
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The PhD stipend is open for appointments from 1st June 2026 or soon
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outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational capabilities (e.g. evidencing a 2:1 or higher in relevant
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and individually, for example through training opportunities and the structured JuDocS program for doctoral candidates: https://www.fz-juelich.de/en/judocs In addition to exciting tasks and a
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 16 hours ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
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: Master's degree in (Bio-)Physics, (Bio-)Engineering, Biological Sciences, Microbiology, Biochemistry, Systems Biology, Molecular Biology, Bioinformatics/Computational Biology, or related fields Hands
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at: https://www.math.aau.dk/english. Stipend 2 will be located at the Department of Health Science and Technology, that conducts research that spans biomedical sciences, clinical research, biostatistics
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Neuroscience. You may also be considered for this position if you have professional qualifications or experience in engineering. Candidates should demonstrate willingness to build and program their experimental