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adaptive cybersecurity solutions for shared social and economic systems. The successful researcher will apply expertise in programmable networking, network traffic analysis, and machine-learning
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Knowledge, Skills, and Abilities Candidate must have a PhD. Experience in oceanographic field techniques/lessons; experience in remote teaching, multimedia classroom techniques, and online learning management
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, you’ll guide the next generation of mathematicians, including PhD candidates and postdocs. In teaching, you’ll have the opportunity to teach and develop courses at every level, from core first-year
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researcher who enjoys developing methods for complex biological data and working closely with experimental scientists. You meet the following criteria: a PhD, or a PhD close to completion, in machine learning
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seizures/epilepsy, including stereotactic injections and implantation of multichannel recording and stimulation electrodes. Acquire, curate, and analyze multichannel iEEG/electrophysiology recordings from
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, machine learning or neuronal population analyses would be an advantage. Specific Requirements We are looking for a candidate with a strong interest in scientific software development and quantitative
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or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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advanced machine learning techniques Optical design and miniaturization of a novel spectroscopic sensor based on freeform optics, optimized for agrifood applications For this function, our Brussels
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. Qualifications and personal qualities: Applicants must hold a PhD or equivalent doctoral degree within atmospheric physics, meteorology, climate science or machine learning. PhD-students may apply if defence of
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analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate