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room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied mathematics, or a related area. The
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modelling of diffuse scattering using X-rays, electrons and neutrons to establish local structure and correlated disorder in advanced materials and including ultrafast femtosecond science. The project
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and Aarhus University, respectively. Please
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for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular
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to contribute to fundamental advances in solid-state physics, while applying luminescence-based techniques to pressing questions in Earth system science. The positions are funded by the ERC Advanced
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. Your qualifications Need to have: A PhD in molecular biology, medicine, or a related discipline Hands-on expertise with cell culture and molecular biology techniques (e.g., RNAseq) High motivation
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Are you interested in green energy, and do you want to contribute to the development of the future technologies for the green transition? At the Department of Biological & Chemical Engineering (BCE
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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closely with the Department of Mathematics at Aarhus University. In addition, your organic chemistry skills will be instrumental in developing antioxidant artificial cells. These interdisciplinary projects
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be