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management, self-organization and strong social skills. Lastly, you are expected to communicate scientific findings in international conferences as well as in high-impact scientific journals. Your primary
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of applicants will be made by Assistant Professor Raphael Ferreira together
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
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. The position is an Alliance PhD partially funded by DTU and partially funded by Villum Fonden under the Villum Young Investigator program. The PhD project will investigate the molecular basis of enzyme-substrate
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of aquaculture (e.g., farming technologies, water quality, fish physiology and nutrition, aquaculture microbiology), providing a scientifically stimulating multidisciplinary and multicultural environment
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terms of purity, efficiency and photon indistinguishability (PhD2). Supervise MSc/BSc/Fagprojekt project students. Contribute to the development of new SPS designs. Document the research with scientific
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institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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Materials Science and engineering or chemistry or related subjects such as corrosion science and engineering. Masters in electronics engineering with prior experience on humidity/corrosion reliability