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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral Candidate (DC) / PhD Position (m/f/x) (100 %, salary plus allowances
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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Doctoral Network (DN) project ANT PhD position (DC7). This is a unique opportunity to join an internationally competitive program on embedded AI, with attractive stipends, extensive training, and research
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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities We are seeking a motivated PhD- student to join our teams working on bistable
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Actions Doctoral Network Program called ProtAIomics. The PhD candidate should not have lived or worked in Germany for more than 12 months within the last three years to be eligible for the position in
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 3 hours ago
Job Code: PhD 10/25 Job Offer from September 19, 2025 The Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig, Germany, is an internationally recognized research
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this PhD programme, the student will focus on developing an accelerated digital neuromorphic spiking neural network and its learning rules using FPGA devices. They will first implement on FPGA spiking neural