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of artificial intelligence and advanced hardware systems? An exciting opportunity has arisen to join the newly created Silicon Platforms Lab (SiP Lab) within the School of Engineering at Macquarie University
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-disciplinary engineering problems that help us reach Carbon Net Zero. An ability and desire to work in a team, and to support PhD students. Why should you apply for this role? You will join one of the leading
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include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 21 hours ago
Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal — helping first-generation and lower-income students find paths to prosperity. Designated
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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of experimental platforms to model human neural systems. The successful candidate will design and apply microphysiological systems, such as lab-on-a-chip or biosensor-integrated constructs, to study neural network
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Position Details Position Information Internal Posting? Posting Number SP004830P Position Title Postdoctoral Fellow Division/College College of Engineering Department Computer Science Location Idaho
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Information fellowship Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number MPOBS_2026_02 Is the Job related to staff position within
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projects within our group funded by EU Chips JU, Business Finland (BF) co-innovation, and Technology Programme Helsinki Institute of Physics such as Moore4Power, WIBASE, and AQUES respectively. The role
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. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29