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microscopy and imaging approaches Hands-on experience with genome editing technologies (CRISPR-based techniques) Hands-on experience with cellular differentiation systems, stem cell biology and cellular models
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. The position is closely connected to our activities within automated quality assurance and structural health monitoring of wind energy components and your work will contribute to the development of new knowledge
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Project and Research Environment Large Language Models (LLMs) are increasingly used in legal question-answer contexts. It is now well known that answers may contain noise, for example, in the form of so
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to unlocking the full potential of nucleic acid–based therapeutics is their inefficient delivery to the cytosol. Current technologies like lipid nanopartcles (LNPs) are limited by poor biodistribution and
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on the candidate’s profile and interests, the position may also involve primary data collection, including extraction of medical chart data using natural language models and surveys of stakeholders within child and
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of Southern Denmark (SDU), invites applications for one or more postdoc or research assistant positions, where the candidates will work on the sensing, modeling and control of soft/continuum robotics with
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research group or center you would like to join (max. 1,000 words). A current curriculum vitae (e.g. using the EU model), clearly stating your educational background, experience, techniques, language skills
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of the faculty’s research groups. You should state which research group or center you would like to join (max. 1,000 words). A current curriculum vitae (e.g. using the EU model), clearly stating your educational
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of the faculty’s research groups. You should state which research group or center you would like to join (max. 1,000 words). A current curriculum vitae (e.g. using the EU model), clearly stating your educational
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department under the Faculty of Science & Technology at Aarhus University. Our work spans fields from physics, chemistry, microbiology, molecular biol-ogy, and mathematical modeling to social science