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consumption as well as the flexibility that they can provide to the system. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences within computational
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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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sector consultancy and participation in activities related to our advice and related work program with the Danish Agency for Climate Data (KDS). The GEO division also contributes actively to the centers
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Job Description Are you keen on contributing to the development of strategies for the electrochemical monitoring of brain organoids by applying your microengineering skills? Here, we can offer you a unique opportunity to do exactly that in a dynamic research environment. In the CustomMade...
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Nordisk Foundation and led by Associate Professor Mikkel Schmidt (DTU Compute). In LightTrap , we will use AI to accelerate the discovery of new optical materials and that enhance the performance of thin
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collaborative effort, internally within experimental groups at DTU and externally with other leading universities. CatTheory has a strong infrastructure and computational facility. Responsibilities and
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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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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs