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records commensurate with grade Desirable criteria Ability to carry out statistical analysis of genetic data Up to date knowledge of machine learning methods applied to clinical and omics data Experience in
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PhD in materials chemistry, membranes, polymer science and engineering related areas. The applicant should be capable of working under their own initiative and should be familiar with common laboratory
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more
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innovation. Employees join a dynamic, mission-driven department contributing to impactful work in areas such as clinical trials, causal inference, machine learning, electronic health records, statistical
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record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, or optimization Proficient in both written and spoken
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modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. About the project/work tasks: Description of the INTEGRATOR project
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19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Computer engineering Computer
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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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research project "Plasma state classification and abnormal event detection in nuclear fusion devices with Symmetrized Dot Pattern and Machine Learning applied to time series of tokamak plasma radiation