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August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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motivated and independent researcher with: a PhD in marine biology, ecology, or a related field. experience in marine mammal research, particularly in data collection and (statistical) analysis. strong
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research engineer with a passion for innovation and strong inter-disciplinary skills; PhD degree in Instrument or Analytical Engineering, Mechanical Engineering, Biomedical Engineering, Systems Engineering
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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problems and wave propagation from nano to kilometre scales. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic