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position is at the Department of Business Analytics and Decisions in the work group Production and Logistics. The Department of Business Analytics and Decisions is part of the Faculty of Business, Economics
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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to completion) in a biomedical, bioinformatic or relevant subject. You must have a strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong
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strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong interest in the research topic including renal pathology and to hold experience
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another relevant quantitative social science discipline, with strong skills in quantitative child poverty research. They will have excellent analytical and statistical skills, strong STATA skills, and
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materials such as anisotropic, hyperbolic, epsilon-near-zero, dispersive, lossy or active media. The successful candidate will develop analytical models and numerical tools, generate original research
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developing machine learning pipelines for imaging data. Excellent analytical, problem-solving and communication skills. The ability to work independently and collaboratively within a multidisciplinary research
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completing, a PhD/DPhil in Health Economics, Economics, Statistics, Epidemiology, Health Data Science, Mathematics, or another quantitative discipline, and will have experience in health economics, disease
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opportunity for a Post Doctoral Research Assistant. Your main duties and responsibilities will include: Carrying out literature searchers, study selection, data analysis, data extraction, quality appraisal, and