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untapped potential remains in extracting value from this data. This PhD will explore advanced analytics techniques, including machine learning, digital twin modelling, time series analysis, spectral analysis
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. The research project of the PhD student will thus focus on aggregating heterogeneous OSINT (Open-Source Intelligence) sources and aggregate retrieved data with cyber-risks indicators of the targeted environment
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer
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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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Administration NAV. Prognostic factors for long-term effects on health and welfare will also be explored. The PhD candidate will be in charge of cleaning, linking and statistically analysing data from the various
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Natural Resource (ENR) Group at Wageningen University & Research as a PhD candidate and explore the economic trade-offs involved in the transition to renewable energy. As a PhD candidate, you will assess
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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application! Position description The Institute for Analytical Sociology (IAS) seeks to fill one to two 4-year PhD position/s in Analytical Sociology. The IAS is an international, interdisciplinary research
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Qualification Type: PhD Location: Nottingham Funding For: UK Students Funding amount: Full tuition fee waiver pa (Home Students only) and stipend at above UKRI rates pa (currently at £20,780
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Your job The Knowledge, Technology and Innovation chair group at Wageningen University welcomes applications for a PhD position in the EXTRA consortium ‘From EXperiment to sustainable change