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Job Description If you are excited by the challenge of understanding extinction through cutting-edge computational approaches, this postdoc offers a unique opportunity. You will help develop a
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DTU Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design
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or related fields. Preferably strong interest and foundation in immunology, immune cell assays, or translational research. Preferably experience with computer-guided protein engineering. Experience in human
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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of magnesium-based binders in different environments, with particular interest in carbonation mechanisms. You will gain hands-on experience with advanced equipment and computational modelling tools to analyse
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PhD students and postdocs at DTU Energy and DTU Physics, which will realize your designs in the lab, provide experimental input to your modelling and ultimately use the sensors to detect the activity in
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communication skills in English, both written and spoken. As a formal qualification, you must hold a PhD degree in physics, chemistry, materials science, nanoscience or equivalent. We offer DTU is a leading
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computational and experimental techniques. Play an active role in education and outreach in protein design, including contributions to teaching and mentoring activities. You must have a PhD in a relevant field
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to