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complex nonlinear models, with unique research opportunities in algorithm and hardware co-design, particularly for resource-constrained environments. Applications focus on edge intelligence
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in hardware-accelerated custom computing with national and international academic and industrial partners. The post-holder will contribute to RIGOLETTO, a major European collaborative initiative
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for dedicated implementations of latent reasoning. These investigations will be grounded in hardware through co-design of neuromorphic hardware to improve accuracy, latency, data efficiency, and energy
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | about 7 hours ago
, providers and hardware from the U.S. and China, which represents a big challenge of Europe’s sovereignty for AI model development and deployment (e.g., trustworthiness, dependability, performance, modularity
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neural network types for efficient hardware implementation Developing an FPGA-optimized design Performing device-aware training using both simulated and measured datasets Validation of the complete
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Doctoral Researcher in Hardware-Aware AI for Analog and RF Circuits Employer AALTO UNIVERSITY Location Finland (FI) Salary 3100€/Month Closing date 9 Oct 2026 View more categories View less
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research will be undertaken within the MIND Research Group ( https://www.physics.ox.ac.uk/research/group/magnetism-intelligent-devices-mind ) at the Department of Physics, University of Oxford, under
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and instruments; the largest clean rooms in the Nordic countries are located in the Micro- and nanotechnology centre Micronova. Doctoral Researcher in Hardware-Aware AI for Analog and RF Circuits. We
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control of a site’s power electronics, cooling, and AI hardware. An intelligence layer reads real-time grid signals and turns a request such as “reduce power by 20%” into the detailed actions that
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site’s power electronics, cooling, and AI hardware. An intelligence layer reads real-time grid signals and turns a request such as “reduce power by 20%” into the detailed actions that hardware and