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of the regulatory framework which governs research C4. Excellent communication skills [oral and written], including public presentations C5. Excellent interpersonal skills and ability to develop networks of useful
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
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preterm and/or critically ill newborn infants, to include respiratory support, sepsis analysis, mortality outcomes and others. The Division also participates in a Network where trials are focused
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, 02-776 Warsaw POSITION: research-didactic Adjunct FIELD: natural sciences SCIENTIFIC DISCIPLINE: biological sciences KEYWORDS: molecular biology, functional omics, molecular network construction
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methods, Mathematical optimisation techniques, Physics-informed neural networks, Scientific programming in Python, MATLAB or equivalent, Analysis of complex multi-modal biomedical datasets Skills Essential
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Infrastructure? No Offer Description Grantor: European Union HORIZON Marie Sklodowska-Curie Action (MSCA) Joint Doctoral Network Project portal: https://www.eu4greenfielddata.eu/ Highlights Duration: 1 Sep, 2026
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detection to push XPCS toward atomic resolution Design, refine, and execute experimental strategies at the MID instrument for event-based XPCS Implement and advance correlation analysis methods for XPCS data
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. A successful candidate should have very good knowledge in quantitative methodology and related analysis tools, in particular very good knowledge in analysis with registry or survey data from various
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Offshore wind infrastructure underpins the UK’s Net Zero transition but faces extreme operational challenges. Wind turbines must withstand harsh marine environments where multi-hazard loading from
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in the collection, documentation and analysis of biosamples. Analyse and record clinical data to aid the design of the research data. Prepare papers for journals / presentations either in-house or