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24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile
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to increase synergy and impact to the region and nation. The positions will concentrate on computational simulations and AI-driven tools, including materials discovery, design, property prediction, process
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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of their salary during the first five years in the Netherlands. Selection process For more information about the position, please contact Dr. Masha van der Sande, Masha.vandersande@wur.nl Questions
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these challenges by exploring and developing advanced methodologies for wind turbine drivetrain condition monitoring. The successful candidate will primarily focus on: Signal processing techniques: Developing and
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analyses of high-throughput sequencing data ● Develop pipelines for analysing selection signals ● Write scientific articles ● Take part in national and international scientific conferences The person
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Medical, Health or Life Science or related relevant fields (e.g. Technical Medicine, Biomedical Signal Processing, Cognitive Neuroscience, Sleep Medicine) Experience in conducting biomedical trials in
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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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working with electric signals to trap and study the protein dielectrophoresis. These activities must be something that you are eager to master and to spend time on, please elaborate on this in
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the qualifications 7. Certificate of enrollment in a PhD program Submission of applications: orz0822@imbb.forth.gr Selection process Evaluation procedure Applications will be evaluated by a three-member evaluation