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following qualifications: Programming skills and AI interest Data analytical skills and computer science focus Experiences with chemical analysis and pilot experiments is an advantage. Knowledge
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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characterization aspect of the project, i.e. investigation of dynamics during catalyst activation and reaction by in-situ transmission electron microscopy. VISION is pioneering technology for visualizing catalytic
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findings through scientific publications and presentations at international conferences. We are looking for a candidate who: Think creatively and approaches problems with an open, computational mindset. Is
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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packaging, one that’s safer, smarter, and more environmentally responsible? We are looking for a highly motivated PhD student to join our dynamic, interdisciplinary research team. By joining us, you'll gain
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order to understand the context better. During the project you will complete a PhD education as described in the rules and regulations for the PhD programme. Project duration This is a three-year PhD
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biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career scientists give us the agility and expertise
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renowned research group for Gut, Microbes, and Health at the National Food institute, Technical University of Denmark (DTU). We offer a dynamic and sociable research environment with exiting challenges and
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips