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Field
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ongoing in-house research programmes, provide support to external users as local contact, and develop your own research programme focused on the interactions between biological membrane mimics at liquid
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dynamic scientific institutions in Europe. Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students Friendly and supportive team
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interaction research. The postdoctoral researcher will contribute to the design and optimization of biomaterials, their biological characterization and the functional validation of the developed models
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, embedded in the MESA+ Institute for Nanotechnology. The project offers a combination of hands-on experimental work, data analysis, physical interpretation and close interaction with industrial partners. You
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Your position The successful candidate will lead an ambitious interdisciplinary project at the interface of immunology, neuroscience, and cancer biology. The project will investigate how neural
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 days ago
play a pivotal role in these cavities. This research opportunity aims to understand the physical processes governing ice-ocean interactions in these different ice-shelf cavities using a combination of
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About the Role Applications are invited to join an ERC-funded research programme. The successful candidate will work at the interface of bioelectronics, mechanobiology, and disease modelling
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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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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or