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Multiple Sclerosis (MS) with a view to highlighting the implications for clinical practice. A recently completed PhD (PhD1) study, supervised by Dr Andrea Hollomotz and Professor Helen Ford at the University
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join our team at IETR Laboratory, CNRS, Rennes, France for a fully funded PhD (3 years). The project is supported by the French National Research Agency (ANR) and Swiss National Science Foundation (SNF
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more electronics are being used "in the edge". Think of biomedical wearables, internet of things sensing nodes, autonomous robots, etc. The PhD project will investigate the design of event-based
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5 Sep 2025 Job Information Organisation/Company FCiências.ID Department HR Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal
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Abuse (DVA) experiences of people with Multiple Sclerosis (MS) with a view to highlighting the implications for clinical practice. A recently completed PhD (PhD1) study, supervised by Dr Andrea Hollomotz
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Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Israel Application Deadline 2 Oct 2025 - 12:00 (Europe/Brussels) Type of Contract Temporary Job
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for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital neuromorphic hardware, this project will push into next-generation analog circuits and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 15 days ago
Emeraude INRIA/INSA-Lyon research team which is physically based at the CITI Lab of INSA-Lyon (Villeurbanne, France). This PhD will be conducted under the supervision of Romain Michon (Inria) and Pierre
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Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Austria Application Deadline 30 Sep 2025 - 23:59 (Europe/Vienna) Type of Contract Temporary
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neuromorphic hardware, this project will push into next-generation analog circuits and memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear