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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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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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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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. 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