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’, i.e. policies that deal with problems after they occur, rather than long-term prevention. By developing innovative simulation models that incorporate the life-course consequences of policy options, your
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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an emphasis on in vivo assays, animal models and state-of-the-art imaging tools Soft skills seminars on communication, presentation and other topics equally relevant for achieving success in both a scientific
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dynamic and international research environment. Our research facilities include top-notch optics laboratories and access to a world-class cleanroom. Principal supervisor is Prof. Albert Schliesser (email
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or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health
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choices model, you can exchange leave days and/or salary for benefits such as an advantageous sports subscription or bicycle scheme, and we also offer child-care options; If your work allows it, hybrid
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging
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We are looking for a motivated PhD candidate for a project carried out under the supervision of Prof. Ben Feringa at the Stratingh Institute for Chemistry. The project is part of the EVOLVE
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features allow overcoming such limitation? The PhD project will be largely experimental with some modelling aspects, and will begin with an identification of a set of research questions based on a detailed
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression