22 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Delft University of Technology (TU Delft); Delft in Netherlands
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quantum computer and an intrinsically safe quantum internet. We are creating the quantum future, and we believe that quantum technology will be a game changer in many social and economic sectors – including
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apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics
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stakeholder involvement in rulemaking and the (re)creation of institutional arrangements when translating values into new ‘rules of the game’. This postdoc position is funded under the HySUCCESS project, which
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understanding of robotic manipulation, and build a record of high-impact publications. Job requirements PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field. Strong
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we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical
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postdoc to join our team. We expect both scientific and engineering work, that will focus on first classifying separation technologies available for isolating CO2 electrolysis products. Based
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. The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI
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Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable digital CIM-based AI
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of 7.0 applies to all candidates wishing to pursue a PhD programme at TU Delft. TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators
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from advanced centrifuge tests with numerical simulations. We are looking for candidates with a PhD in geotechnical engineering and proven experience in numerical modeling of offshore foundation systems