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Description Are you fascinated by the incredible capabilities of neural networks? Are you interested in applying theoretical methods to understand computational efficiency in neural systems? If so, come and
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fascinated by the incredible capabilities of neural networks? Are you interested in applying theoretical methods to understand computational efficiency in neural systems? If so, come and join us as a PhD
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the job 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 Are you intrigued by
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Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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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 Are you an enthusiastic young
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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experiments, design and implement advanced detection techniques, analyse data, and carry out numerical trajectory simulations of deceleration and scattering processes. You will have the opportunity to work with
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2 Oct 2025 Job Information Organisation/Company Radboud University Research Field Computer science » Cybernetics Computer science » Programming Researcher Profile First Stage Researcher (R1) Country
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to monitor climate change, optimise industrial control, as well as observe important chemical or biological reactions related to life sciences. Among several optical methods for measuring gas concentrations