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evaluation of the project’s core technical components in expert-in-the-loop agentic AI for manufacturing. Develop process-centric AI methods and software tools for BPMN modelling, Petri/CPN formalisation
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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resonance imaging data among other imaging modalities, machine learning methods for prediction, treatment effect estimation, and contribute to understanding brain biomarkers of Alzheimer’s disease and their
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, mentoring graduate and undergraduate students. Responsible for reviewing and publishing papers. Brainstorming research ideas and formulating problems. Developing methods and conducting experiments in both
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Details Title Postdoctoral Fellowship in Electrical and Computer Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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quantitative and computational methods and a background in gender-based violence, demographic change, and social inequality, with particular expertise in Intimate Partner Violence (IPV) and Violence against
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days ago
repeated over several trials (to collect multiple samples) before making a decision. For these applications, statistical methods for hypothesis testing and estimation are needed, with formal guarantees
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science » Other Engineering » Computer engineering Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 5 Jun 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract
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molecular biology and protein biochemistry methods, including cloning, PCR, DNA extraction, immunoprecipitation, protein purification, Western blot analysis, macromolecular complex assembly and purification
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to 12,000 tire passes per day on a test section. This simulated load is used to test pavement designs and placement methods. Using vendor-supplied software as well as software developed in-house, on-board