197 evolution "https:" "https:" "https:" "Universidade do Minho ISISE" PhD positions in Denmark
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or retain functions, and how these processes contribute to the evolution of agronomically important traits in domesticated plants. By combining comparative genomics, evolutionary analyses, and computational
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We are searching for a highly motivated PhD candidate to conduct research on the design, development, integration, and evaluation of a multimodal, Socratic AI tutor for novice programmers within
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University, preferably 3-6 months at a foreign research institution. Who we are The Department of Architecture, Design, and Media Technology has as its goal the development of an innovative cluster
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cellular receptors present in target species, where in the cells the virus is located and identify species dependent differences in disease development and receptor expression. Techniques employed will
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qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk
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of micronutrients, and strategies to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development of analytical methods
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on mitigating its negative impacts with limited attention given to the development of tools and processes for planning and managing waste handling in order to increase reuse and recycling rates. The purpose
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about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . The further process After deadline, a number of applicants will be selected for academic assessment by an unbiased
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undomesticated and feral urban animals. Through ethnographic fieldwork and archival studies in Denmark, Sweden and Norway, we follow the technological development and legislation on animal rights in the EU since
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical