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the emergence of novel variants that are causing epidemic or even pandemics. If we at an early stage could foresee which variants of novel species there most likely would cause diseases, we could potentially
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Oil pipeline from the North Sea to refinery Planned hydrogen pipeline Potential future CO2 infrastructure The location represents a rare opportunity to develop a multi-vector Power-to-X hub, integrating
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, and what strategies do individuals and communities employ to regulate their mental health and well-being? Using a multi-level comparative approach and innovative methods such as participatory Ripple
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22 Jan 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 13 Feb 2026 - 12:00 (UTC
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. The position is part of the new research project “Functional screening to identify novel repressive chromatin factors,” combining genome-wide reporter-based screening , FACS , and multi-omics/proteomics
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research in deep learning models for multi-sensor satellite data (e.g. SAR, SMAP) within a large international research project on AI-driven solutions for groundwater management. Expected start date and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
department-based, multi-site studies. Develop and manage collaborations with internal and external investigators and research sites nationwide. Analyze clinical, biological, and patient-reported data; publish
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knowledge of impurity effects or gas-phase contamination in electrochemical energy conversion systems As a formal qualification, you must hold a PhD degree (or equivalent) in electrochemistry, materials
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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in multiscale and multifidelity simulation techniques (ab initio methods at different fidelity, machine learning tight-binding, machine learning force fields, phase-field modeling, and/or kinetic monte