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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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group specializes in experimental quantum technologies spanning quantum information processing, quantum communication, and precision sensing. In this PhD project, you will work at the forefront of solid
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and
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twins, energy islands, electrolyzers, and machine learning. Our team of 25 members (link ) from 13 different nationalities values diversity and includes experts in a broad range of scientific disciplines
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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Job Description AI has begun to transform molecular discovery and design for proteins, DNA, RNA, small molecules and more. Yet many outstanding challenges in health and sustainability remain data
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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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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process