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. This role offers a unique opportunity to work at the cutting edge of deep tech nano-biotechnology, while actively participating in real-world commercialization pathways and venture design. Strong performance
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-on computational laboratories covering data curation, molecular representations, machine learning models, deep learning, generative models, and applications in reactions, catalysis, and spectroscopy. Coordinate with
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of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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research institutions. To be considered for the position, you will have: Research experience to PhD level (or equivalent) in a discipline covered by the journal. A passion for science and a desire to learn
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such as mechanistic, chemometric, deep learning, and physics-aware models. Improve robustness and reliability of the developed methods for deploying AI models in real environments utilizing augmentation
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, such as visual methods, co-creation, and participatory design, to generate deep insights and develop impactful knowledge for societal challenges. Moreover, you will teach courses in consumer usage behavior
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in one or more of the following research areas is desirable: geometric numerical integration, structure preserving deep learning, stochastic differential equations, generative AI, numerical
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• PhD degree in STEM. • Proficiency in at least one mainstream deep learning framework (PyTorch or JAX) • Fundamental knowledge of physics, chemistry, and materials science. Research
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, bringing together more than 250 staff and 250 PhD students at the forefront of drug discovery and development. Renowned for translating world-class science into real-world impact, MIPS combines deep