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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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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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collectively known as memristor-based Computation-in-Memory (CIM) accelerators. However, these new technologies and computing paradigms face various design challenges in terms of design and technology challenges
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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
Job description:Researcher (f/m/d)/ PostDoc (f/m/d) in Accelerator Mass Spectrometry (AMS) with focus on sample preparation and cosmogenic radionuclides With cutting-edge research in the fields
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position within a Research Infrastructure? No Offer Description Department of Plant Breeding Are you the person we are looking for? A highly motivated early-career postdoc? About the position Prof. Gutierrez
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/beamlines-accelerators/beamlines/softimax/ Eligibility Appointment to the position of postdoc requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject
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Description of Post ATU’s JANUS Research Centre for HPC, AI and Emerging Technologies is seeking a highly motivated AI Engineer (PostDoc PD1) for ATU’s AI Engineering team within the EU-funded
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Description of Post ATU’s JANUS Research Centre for HPC, AI and Emerging Technologies is seeking a highly motivated Senior AI Engineer (PostDoc PD2) for ATU’s AI Engineering team within the EU
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wind and solar or bet on emerging technologies like carbon capture and storage and hydrogen. A new Postdoc position explores this challenge by empirically documenting and tracing the policy support