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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain
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have earned, or are nearing completion of, a PhD in Computer Science or a closely related field, with research interests, experience, and demonstrated contributions in Artificial Intelligence
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The i3S laboratory (https
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/ ), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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Reporting of results in publications Presentations at major conferences Job Requirements: PhD degree in Electrical Engineering, Computer Science or related field At least 3 years of relevant experiences in a
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3 Year, full-time PhD studentship Eligibility: Open to home, EU and international students Bursary p.a: £21,805 University fees and bench fees: This studentship will cover university fees
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. The successful candidate will be enrolled in INN’s PhD program in Applied Ecology and Biotechnology, with a specialisation in Forestry. The PhD program helps address local and global problems concerning
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Employment Type: Full-time Duration: 4-years Remuneration: $48,071 per annum (2026 rate) The Opportunities The project is under the CSIRO’s Industry PhD (iPhD) Program that brings together an industry partner
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enthusiasm for interdisciplinary collaboration. Specifically, we expect: A PhD in Psychology, Neuroscience, Computer Science, or a related field, or expect to obtain one by the start date; Have strong
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to this call may be national, foreign or stateless candidates holding a PhD degree in the field of Environmental Science and/or Engineering, Environment and Sustainability, Chemistry, Computer Science, Data