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Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg | Waldheim, Sachsen | Germany | 3 months ago
24 Jun 2026 Job Information Organisation/Company Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg Research Field Chemistry » Analytical chemistry Researcher Profile
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23 Jun 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biological engineering Biological sciences » Biology Technology
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, Sciences & Engineering Campus (Elsene) will serve as your home base. Where to apply Website https://jobs.vub.be/job/Elsene-PhD-'They-Called-it-Peace-The-Use-of-Force-… Requirements Research
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: Department of Civil Engineering and Architecture: Road Engineering and Geodesy Research Group Co-Supervisor: Assistant Professor Nicole Camille Delpeche-Ellmann: School of Science: Department of Cybernetics
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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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; Autonomous ships and remote control. The research partners are the Norwegian University of Science and Technology (NTNU), University of Oslo, Oslo School of Architecture and Design, Royal Norwegian Naval
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for the assessment of the summary of the degree thesis. Candidates obtaining a minimum score of 60/100 will be short-listed. Website for additional job details https://www.unitn.it/it/dottorati/ingegneria-civile
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architectures. We provide: Salary and health insurance benefits An intellectually stimulating, interdisciplinary, and supportive research environment Opportunity to work on a large translational project at
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master's or diploma degree Fundamental understanding of mixed-signal circuit architecture Experience in deep learning, hardware development, or memory technology is a plus Strong analytical and solution
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nonlinear behavior makes it difficult to guarantee safety and stability. How can we exploit the expressive power of machine learning without compromising the rigorous guarantees required in safety-critical