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the interfacial organic layer at the electrode surface to promote the selective reduction of CO2 to syngas, ethanol, or ethylene. In addition, the scale-up of the most promising processes will be done using
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grant applications Experimental work will include molecular engineering, protein characterization, and cellular functional validation in engineered T cells. We are looking for a candidate who: Holds a PhD
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meet all our requirements, apply anyway - you could be the ideal candidate for us. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
workshops. Qualifications Applicants must hold a PhD degree (or equivalent) in a relevant field. Suitable disciplinary backgrounds include but are not limited to: Computer Science, Data Science, Artificial
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The position is hybrid, but primarily laboratory-based. A strong experimental profile is essential. We are looking for a candidate who: Holds a PhD in molecular biology, biochemistry, pharmacology, protein
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to the positions requires a PhD or equivalent and will be in accordance with the salary agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. An application must
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detailed CV (max 2 pages) Copy of certificates/diplomas (MA and PhD degree) A complete list of publications indicating which publications are most relevant for the position. The 3 most relevant publications
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contributing to computational model development The position is primarily computational and AI-driven, with close interdisciplinary collaboration. Qualifications We are looking for a candidate who: Holds a PhD
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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fragmentation mechanisms in LC-MS/MS. The project addresses fundamental limitations in current proteomics workflows, which rely almost exclusively on positive ion mode and therefore systematically underrepresent