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description The project is funded by Villum Foundation through the Villum Experiment grant From Genesis to Terminus: Rainbow-Painting of Extracellular Vesicles for Single-Particle Tracking. As a postdoc, you
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Astronomy at Aarhus University. Job description The successful applicants will participate in the experimental research activities under ERC Synergy Grant IRAstro and DNRF Center of Excellence
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intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning models that predict gene expression from DNA sequence in plants, using new experimental datasets generated in
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to join our team of consumer behaviour scientists who can bring knowledge of and experience with consumer research, survey methodology, and behavioural change in the context of the circular economy. The
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
software studies, and it analyses how GenAI is interfaced (SP1), how GenAI creates new relations to archives (SP2), experiments with prototyping alternative interfaces to GenAI (SP3), and utilise artistic
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welfare assessment measures through experimental approaches, including pharmacological interventions. Contributing to scientific publications and dissemination of research results. Participating in
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neurobiology, biochemistry, genetics, and proteomics. Expertise in APEX/BioID-based proximity labelling, biochemistry, proteomics is required Experience in mice handling and behaviour, microscopy, AI protein
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environmental science, physics, chemistry, mathematics, engineering or similar. You need to demonstrate experience with collaboration and presenting works at international conferences and leading manuscripts
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for extension. We are looking for someone to join our team of consumer behaviour scientists and agent-based modellers who can bring knowledge of and experience with modelling cognitive or behavioural change
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: planning and execution of pilot scale HTL campaigns carrying out wet-oxidation experiments in pilot scale supporting full scale HTL experimental campaigns with sampling, data analysis, process evaluation and