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candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown below. The candidate is expected to have hands-on experience in
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Researcher) position is part of the EIC project, HYPERSONIC (HORIZON-EIC-2023-PATHFINDEROPEN-01), which aims to develop scalable, solution-processed 2D materials and covalently interconnected networks for next
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tools, collaboration with project stakeholders, and engagement with the consortium and Defence and Security stakeholders. Technical Requirements: Strong coding skills with background in machine learning
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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | about 23 hours ago
focus on developing generative models for small molecule design. The candidate will contribute to the development of chemistry-informed generative models using frameworks such as generative flow networks
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
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blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
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is part of a broader research initiative encompassing fundamental studies of nonlinear quantum light–matter interactions leading to the realization of quantum photonic neural networks. The successful
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, cognitive neuroscience, and data science, our mission is to better understand the network structure of the human brain and how it contributes to cognition, aging, and mental health. Job description
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of a Research Fellowship within the scope of the project “URBAN-NET: Intelligent Networks for Carbon-Neutral and Sustainable Cities”, with operation code NORTE2030-FEDER-02697300, co-financed by NORTE
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data science, our mission is to better understand the network structure of the human brain and how it contributes to cognition, aging, and mental health. Job description: scientific services in teaching