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opportunity to study the effect of archaic introgression on human health and phenotypes. Co-supervisor and contact person for the application is: Assistant professor Laurits Skov, Section for molecular ecology
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-throughput experimental techniques. Strong analytical skills and the ability to work effectively in a collaborative, interdisciplinary research environment. Approval and Enrolment The scholarship for the PhD
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achieve fundamental computational goals of minimizing complexity, provide more cost-effective and accessible solutions, and hence encourage their widespread use. In line with these initiatives, and
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assessments of data quality effects on genomic inference, and apply these methods to real datasets from extinct species. You will help shape how the field extracts meaningful biological signals from challenging
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social and team skills. You can communicate scientific topics clearly and effectively to both experts and non-specialists. Proficiency in English is required. You must be compliant with MSCA mobility rule
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pragmatic, curious and driven in your research. Collaboration is central to your work, and you bring strong social and team skills. You can communicate scientific topics clearly and effectively to both
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biocompatibility in collaboration with other students and project partners. We are seeking a highly motivated candidate who can work effectively both independently and as part of a team, and who communicates clearly
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can thrive. Our research, advisory service, and education contribute to the development of a sustainable blue bioeconomy, robust aquatic ecosystems, and reduced effects of climate change. We have a
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of autonomous robotics and systems. Your PhD project will result in scientific publications and experimental validation of your results. You will present at international conferences as part of your research
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the national center for nano- and micro-fabrication. We work in tight collaboration with a team of quantum nanophotonics theorists and a team of nanofabrication experts. We have established an effective in-house