38 postdoc-distributed-algorithms Postdoctoral positions at Delft University of Technology (TU Delft)
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Description Shape the future of robotics! TU Delft is looking for a postdoc to develop a design framework with guidelines, competences, and tools that will help robots integrate into professional work settings
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of aircraft. This postdoctoral project aims to experimentally characterize the temperature distribution and heat transfer during the heating of microscopic aggregates of thermoplastic cut tapes, with
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft as a postdoc on the CHESS project to model, design
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advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement computer vision algorithms for accurate landing
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Guidelines . We carry out this check on the basis of legitimate interest. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/354801/postdoc
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and female candidates are particularly invited to apply, since the gender balance recently declined with the departure of quite some female postdocs and students. The postdoctoral position is for 2 year
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to DRI on a fundamental level is critical. As a postdoc in Steelmaking Process Kinetics, you will: Explore experimental techniques to replicate and quantify DRI melting, heat transfer and DRI-slag
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control with teleoperated human inputs? Change: Develop novel algorithms and interfaces for teaching robots in shared control with human operators. Impact: Provide a seamless interface for humans to teach
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looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable digital CIM-based AI accelerator design for future neuromorphic accelerators. The candidate will work on the
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Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI accelerator design for future neuromorphic accelerators