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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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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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postdoctoral position lies at the interface of fluid mechanics, phase-change physics, and industrial application. It is part of ARCNL’s Source Department and the EUV Plasma Processes group. We investigate
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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for subsurface water storage systems. Your main case-study area are the islands of Zeeland and Zeeuws-Vlaanderen, with connections to monitoring and pilot sites. You will work at the interface of hydrogeology
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for strain improvement. The project will combine cell biology, genome editing and quantitative physiological studies in laboratory bioreactors. The position offers a unique opportunity to work at the interface
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; collaborating with municipalities, urban planners, designers, and residents in model co-creation and validation workshops; contributing to the development of an interactive, publicly accessible web interface (e.g
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for an enthusiastic PostDoc candidate to join the ERC Synergy Project TurPhyCloud, who will work on the interface between the atmospheric measurements, simulation strategies and analyses. You will co-develop
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freedom to develop original mathematical ideas while contributing to a coherent long-term research programme at the interface of geometry, analysis, scientific computing, and computational mathematics
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agriculture, biodiversity, forestry, urban-rural interface, human-environment systems and/or climate change impacts. Further, we search for a candidate who can educate and inspire the next generation of Remote