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Field
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correlations. - Analyse experimental data mixing both quantum optics and solid-state physics phenomena - Supervise PhD students and interns - Ensure an efficient collaboration and information sharing with
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Qualifications PhD degree in bioinformatics or a related inter-disciplinary field High level of motivation for research, attention to detail, scientific creativity, and writing skills Languages skills: fluent in
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projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Design and implement machine learning and deep learning models for hydrological
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. What you bring We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this? PhD degree in Artificial Intelligence, Computer Science, Biomedical
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and implement novel computational strategies that combine physics-based modeling, optimization techniques, and machine learning approaches to improve cryo-ET image processing workflows. This includes
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assessment, programming and machine learning. If so, we encourage you to apply! You will develop exposure and physical vulnerability maps for past and future (1970-2100) and integrate these into a flood risk
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 31-Mar-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Biological/Biomedical
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Candidate Profile Training and Skills required (Recent) PhD in bioinformatics, statistics, or computer science with knowledge and interest in biology Track record of creativity in developing analytic
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the Middle East. For further information on our current projects, research and teaching see: https://www.durham.ac.uk/departments/academic/archaeology/. The Role The Department of Archaeology at Durham
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will