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performing educational research (mix-methods, surveys). Your primary tasks will be to: Implement full-stack applications, including an AI model in the back-end and GUI (in HTML); Deploy AI models both locally
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candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
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. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand
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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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/MS for example) Advanced knowledge in research design and methods (running extensive experimental studies) Familiarity with practices of transparency and open science Strong interpersonal and
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/MS for example) Advanced knowledge in research design and methods (running extensive experimental studies) Familiarity with practices of transparency and open science Strong interpersonal and
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imaging methods complemented by in house X-ray imaging (axia.au.dk). Additionally, X-ray fluorescence, scattering, diffraction-based imaging will be employed. The biological and bioinspired materials group
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical