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Field
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methods, is a game-changer for the chemical industries, enabling a dual focus on reducing greenhouse gas emissions and creating economically valuable outputs. This PhD position is part of PRIME LEAP, a
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new machine learning methods for multimodal data and
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of systems. We develop methods to advance sustainable energy and chemical process systems from the molecular to the scale of the systems. Our work combines process analysis and system modeling to design
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the context of diabetes. Together with the principal investigator, the candidate will plan, execute, and analyze the results of experiments using established laboratory protocols (or other relevant methods
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of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to invent, develop and evaluate novel methods for pre-training and fine-tuning of perceptual foundation
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will contribute to the development and evaluation of methods for bioprinting hydrogels (also referred to as bioinks) that support the development of better 3D in vitro models with such tissue-specific
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is funded under Marie Sklodowska-Curie actions (HORIZON-MSCA-2024-DN-01-01). The successful applicant will develop a novel method enabling the estimation of the permittivity within protein channel
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existing methods to address such risks, and on how to achieve a better use and exchange of existing protocols and data. The project includes the use of Digital Twins to simulate cascading disaster effects
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model. - Update the lake-wide distribution map of the mussel in terms of density, biomass, and biovolume. This map will serve as the basis for a theoretical estimate of whole-ecosystem filtration capacity
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edge applications. Tasks and responsibilities: Develop new deep learning, computer vision and multimodal learning methods for pre-training and fine-tuning perceptual foundation models. Actively