573 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Netherlands
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interest in interdisciplinary research at the intersection of AI and neuroscience (NeuroAI), and human vision; A background in machine learning, deep learning, and/or representational alignment research
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studying folding dynamics of complex proteins in isolation or within a condensate environment. For more information, see: https://www.mashaghilab.org and https://www.universiteitleiden.nl/en/science/drug
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about employment conditions, see https://www.universiteitleiden.nl/werken-bij/sollicitatieprocedure-en-arbeidsvoorwaarden What we value Promoting an inclusive community is central to Leiden University’s
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of machine-learning models capable of analysing the potential of selected antigens as potential vaccine candidate and/or diagnostic target. You will work here The research is embedded within Wageningen
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adaptation, synthetic data generation, and cross-modal learning to enable models that generalize across defect types and machine configurations. This ensures scalable, accurate defect detection even in low
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scientific publications. Where to apply Website https://www.academictransfer.com/en/jobs/359131/phd-process-intensification-for… Requirements Specific Requirements A master’s degree (or an equivalent
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of (translational) neuroscience and applied physics and biomechanics, contributing to a project with major implications for health prevention in groups at high-risk of TBI, such as athletes and military personnel
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genomics datasets of the included cohort. You will be involved in biobanking and ethics approval for biomarker studies. Where to apply Website https://www.academictransfer.com/en/jobs/358914/postdoc
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, development, neurobiology and multimodality of these fundamental human abilities. We investigate how children and adults acquire their language(s), how speaking and listening happen in real time, how the brain
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while enabling secure data reuse across organizations Explore and apply AI, machine learning, and big data technologies to derive insights from microbiome data Analyze existing data platforms and portals