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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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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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costs across European health systems to 2070. You will hold, or be close to completing, a PhD/DPhil in Health Economics, Economics, Statistics, Epidemiology, Health Data Science, Mathematics, or another
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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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interdisciplinary research programme that will require expertise in stem cell culture, human tissue, bioengineering, computational analytical methods and islet transplantation. Applicants should have a recent Ph.D
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sustainability performance. Build mentoring skills by helping and advising PhD researchers. Lead and write peer-reviewed articles for high impact journals. Participate in events, give expert talks, support in
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Area Studies guided by a single overarching analytic theme, composed of other newly hired postdoctoral researchers and current researchers at the Faculty Arts area studies departments, Contribute
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal
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You will be successful in this role if you bring: A PhD in Electrical Engineering, Mechanical Engineering, Data Science or a related discipline Proven experience with renewable energy technologies and