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properties You will work in close collaboration with a group of senior scientists, technicians as well as postdocs and PhD students. Also, the work will involve collaboration with selected external partners
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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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, 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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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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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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-driven analysis and modeling. These are interdisciplinary positions that combine environmental engineering, materials science, and sustainability assessment. We are looking for motivated and forward
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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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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