73 phd-mathematical-modelling-population-modelling Postdoctoral positions at Technical University of Denmark in Denmark
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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this postdoc position, along with an additional postdoc and one PhD position, we will tackle this grand challenge by fabricating and studying electrocatalysts with three-dimensional active site structures. With
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
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empathic person with a PhD degree in mechatronics engineering, MEMS, neurotechnologies, applied physics, nanotechnology, neural interfaces, biomedical engineering or similar. Advanced skills in electronics
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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level. You will collaborate with fellow PhD students and postdocs from various disciplines and can engage with both academic and industrial partners in Denmark and abroad. You are expected to participate
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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 opportunity to co-supervise BSc, MSc, and PhDs, and we expect you to actively engage with the team and make your expertise available to your colleagues. We seek a talented physicist with an
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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