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The Department of Business Development and Technology ( BTECH ) at Aarhus BSS, Aarhus University invites applications for a postdoctoral position in environmental politics and carbon removal
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international research proposals. Additionalexpectations Active participation in research coordination within the Hyper-Cap program and cross-project collaboration. Contribution to supervision and mentoring
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Aarhus University is seeking three postdoctoral fellows for research on metabolic dynamics and pl...
of the team of Prof. Alfred Spormann in the Department of Chemistry at Aarhus University to engage in cutting edge systems-level research in metabolic dynamics and plasticity of acetogens during gas
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. Science Advances (2024). https://doi.org/10.1126/sciadv.adk1250 Your qualifications: Required qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant
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, tools and expertise. The lab is part of the Department of Molecular Biology and Genetics (mbg.au.dk ) at Aarhus University, which is a vibrant, collaborative, and international research community
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scientific excellence, be ambitious and hard working. Only applicants, who seek to be among the brightest in their field and do science at the highest international level, will be considered. We offer DTU is a
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University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we
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Zheng. Your competences You have academic qualifications at PhD level, for example within computational biology, bioinformatics, spatial omics, or related areas. Experience with computational imaging
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origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami robots for cell factories (yeast
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see