40 optimization-nonlinear-functions Postdoctoral positions at Aarhus University in Denmark
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August 2025 or as soon as possible thereafter. Job description You will be part of an international and dynamic team to focus on modelling hypo-O-GlcNAcylation in Drosophila, searching for physiological
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, hosted at the Department of Biomedicine, Aarhus University. Our group focuses on the transcriptional and functional diversity of hypothalamic and thalamic cell types across development and disease. We use
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of employment This is a 1 year and 9 months position from 15th of August 2025. Job description This is a research position within a project focussed on enabling better performance of enzyme cascades
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contributing to plant-microbe associations is a central theme in the group. Our microbial and plant genetics studies using simple and complex communities aim to elucidate plant and microbial functions governing
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. The research initially includes in vitro screening for effects of selected seaweed products on pure cultures of methanogens. Further, based on an in vivo trial, the work aims to generate comprehensive
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like to work with a highly engaged and motivated staff in a dynamic working environment. The position is available from 1 October, 2025. The position The position is offered for a 2-year period of
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2025 or soon thereafter. The position is in the research section Behaviour, Stress and Welfare . Position The position focuses on research in host/parasite interactions in domestic animals. The work
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functionality. We are seeking a candidate who can span the interface between animal nutrition and process technology and who is dedicated to the development of alternative, sustainable feed ingredients
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an exciting opportunity to work with RNA modifications in disease. The position will initially be for one year with possibility for extension up to four years. Starting Date and Period The position is available
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chromatin structure, and improve nucleosome maps. The positions are part of the project: “Development and application of generative AI models for ctDNA detection and characterization,” supported by the Novo