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The Department of Molecular Biology and Genetics and the Danish Research Institute of Translational Neuroscience (DANDRITE, Nordic-EMBL partnership in molecular medicine) at Aarhus University
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We are seeking applicants for a postdoctoral position of 3 years and 8 months at iNANO, starting 1 August 2025 or as soon as possible hereafter. Expected start date and duration of employment 3 years and 8 months from 1 August 2025 or as soon as possible hereafter. Job description You will work...
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The research group of Mikkel Heide Schierup at the Bioinformatics Research Centre at the Department of Molecular Biology and Genetics, Aarhus University, invites applications for a 3-year
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an international, dynamic team. Your profile Applicants should have an interest in the molecular mechanisms of RNA modifications and how these could be targeted for therapeutic use. Candidates should hold a PhD
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and utilization technologies, Power-to-X systems, or bioprocess integration is highly desirable. Experience in steady-state or dynamic simulation under varying operational scenarios; programming skills
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we play, teach, use and listen to music. About the research project The project looks into interpersonal coordination investigating how groups' coordination dynamics are influ-enced by social identity
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). The Department of Dermatology has a long tradition for translational research. We currently have 2 professors, a clinical chair professor and a professor in molecular dermatology. We have a living and diverse
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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal
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initiative and will involve close collaboration with several research groups, including two postdoctoral researchers and multiple students based at the Departments of Biomedicine and Molecular Biology and
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cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological imaging ranging from molecular