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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
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In this Postdoc you will investigate methods for risk-aware navigation among decision-making agents, using learning and optimization, and apply them to self-driving cars and teams for quadrotors
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balance transparency and confidentiality of digital technologies? This Postdoc position offers you the opportunity to conduct original, cutting-edge research in the project “Artificial Secrecy? Taking
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Description Are you motivated by the critical yet complex challenge of developing a spatiotemporal data integration framework to support human action-taking in complex land systems? If yes, this postdoc
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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, with likely an extension. Your cover letter and CV
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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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. 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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Location ESRIN, Frascati, Italy Our team and mission Reporting to the Head of the Explore Office in the ESA Φ-lab, you will work in close cooperation with other staff in the Directorate of Earth Observation Programmes, in particular with the Head of the Invest Office in the ESA Φ-lab, alongside...
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20 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Aerospace engineering Engineering » Control
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providing financing, and in reporting. In this postdoc position, we are looking for someone with academic curiosity to better understand approaches to ‘value’ regenerative farm performance in food system