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Field
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areas:Miniaturized optically pumped atomic magnetometers (OPMs) for ultra-low-field nuclear magnetic resonance (ZULF NMR) and magnetic resonance imaging (MRI); NMR MRI with a focus on MRI of microfluidic
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cell implantation and in utero electroporation), cell migration studies using time-lapse imaging in brain slices and modeling, whole-tissue clearing, and advanced 3D analysis, the following gross salary
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or pre-printed at least one primary research paper as first or co-first author You have some experience in experimental work Desirable but not required/ Nice to have A strong foundation in machine learning
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research paper as first or co-first author You have some experience in experimental work Desirable but not required/ Nice to have A strong foundation in machine learning and statistics You are experienced
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9 Oct 2025 Job Information Organisation/Company Universitat Pompeu Fabra - Department / School of Engineering Department Engineering Research Field Engineering » Computer engineering Researcher
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. Familiarity with statistical modelling, machine learning and deep-learning Additional information: We offer: 🌐The opportunity to work with our state-of-the-art HPC infrastructure and to join a vibrant network
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will develop and exploit mesoscopic, and multiscale computational models to assist medical applications of ultrasound-guided drug and gene delivery and imaging. The project focus are the encapsulated
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) acquire a pathological fibrotic and immunosuppressive state that promotes tumor progression. Using a set of preclinical models, the project aims to identify novel therapeutic targets and biomarkers based
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
of machine learning and AI algorithms and methods. Knowledge of species distribution models. Catalan and Spanish are valued LanguagesENGLISHLevelGood Research FieldOtherYears of Research Experience1 - 4
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, required to adequately incorporate molecular data, and model regulations of inflammatory and degenerative processes. Available datasets at the molecular level will be incorporated through machine learning