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involve the following tasks: Supervision of BSc/MSc and PhD students related to the project. Performing catalytic tests on upgrading pyrolysis oil and pyrolysis oil model compounds using an advanced
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably
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. Candidates with diverse backgrounds in stellar modeling and those who have worked on various types of stars are encouraged to apply. As a formal qualification, you must hold a PhD degree (or equivalent). We
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in the project. Who are we looking for? We are looking for candidates with a PhD degree and demonstrable experience in food ingredient isolation, rapid experimentation, process miniaturisation
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the Director of Center for Music in the Brain. Your competences You have academic qualifications at PhD level, for example within the following areas of neuroscience, engineering, mathematics, medicine
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of scientific articles. Teaching is not required as part of this position. Daily work will be conducted in English, and familiarity with Danish is not necessary. Required qualifications PhD in pertinent field
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tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces. Evaluate optical
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the project. Your main tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces
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the kidney’s electrolyte and water reabsorption. The postdoc will be expected to explore the potential of modulating bile acid signaling in cell and mouse models and perform metabolomic and transcriptomic
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers