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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
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to their imperfect representation of ocean and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea
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engineering Engineering » Process engineering Researcher Profile Recognised Researcher (R2) Application Deadline 1 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable
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surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation. With 3,400 students (BSc and MSc) and 720 staff, the faculty is a strong and
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problems in bioinformatics. This project is part of the Faculty of Science's new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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Join TU Delft to uncover the biology of cellular robustness in an industrial yeast process and translate your discoveries into innovative genome engineering strategies. Job description You will join
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics » Quantum mechanics Researcher Profile Recognised Researcher (R2) Application
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forming fundamental challenges. Physics-based models are too complex, while pure data driven models lack explainability, ultimately reducing the robustness. The proposed solution is the development of a