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of future experimental platforms. Securing research funding to support and expand activities in this domain. Supervising and inspiring students at all academic levels. You must contribute to teaching at
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industrial partners in Denmark as well as abroad. Your primary tasks will be to: Advance research in all aspects of the CO2 value chain Supervise and inspire students at all levels Procure research funding
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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- provides a constant source of inspiration. Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect
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who are passionately dedicated to excellent patient care, research, and teaching. If you want to be part of a dynamic and inspiring environment where your ideas and commitment are valued, then you are
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· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols
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of the next generation of scientists is one of EMBL’s key missions. The EMBL Corporate Partnership Programme invites applications for short-term fellowships to enable junior level scientific visitors (active
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput