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Program . Job description The fellowships are aimed at early-career researchers with a basic science background or clinicians who aspire to a career in academia. We are particularly interested in candidates
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program, and to teach modules at other bachelor and master programs offered at the Faculty of Health Sciences as well as to mentor undergraduate and PhD students. Candidates with the following competencies
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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an ambitious group that fosters collaboration, research excellence, and quality education. The
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chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation Parkinson’s Disease Research Center PACE is a newly
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an independent and competitive research program, to contribute to teaching and supervision at all levels of education, and to collaborate broadly with the existing scientific staff. You will be offered local
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level and to be successful in attracting external funding. As an assistant professor in a tenure track position, you are expected to develop an independent and competitive research program, to contribute
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contingent on a positive assessment and being chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation
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managing externally funded projects with multiple partners (e.g. EU pro-jects). Application deadline: 1 December 2025 at 23:59 hours local Danish time Please see the full call, including how to apply
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics