75 phd-in-mathematical-modelling-population Postdoctoral positions at Technical University of Denmark in Denmark
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from water samples compared to tissue samples for early detection of disease. Another is to perform “what if” scenario modelling to compare suitability for different sampling protocols in farms in non
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the department’s competencies in advanced modelling and control of buildings' energy systems, e.g., heating, cooling, and ventilation systems using IoT technologies. You will collaborate closely with academic and
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describe concrete examples of your own relevant previous work involving these topics). Experience with modelling is an asset. As a formal qualification, you must hold a PhD degree (or equivalent). We offer
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related to LCA, HRI, and construction safety, health, and well-being. The projects target predictive LCAs for 3D printing using Fabrication Information Modeling (FIM), run-time autonomous data collection
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project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and
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university courses and supervise students As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its
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folding of such proteins. Carry out expression and purification for functional characterization of selected proteins. Teach and supervise BSc and MSc student projects Potentially Co-supervise PhD students
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expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science
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simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models Apply machine learning methods to forecast day-ahead and balancing market