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Field
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-based processing of geospatial data; reproducible research workflows, scientific data management or FAIR data principles, e.g. Github; science communication or visualisation of spatial and environmental
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, Qualifications & Requirements: Required Qualifications The ideal candidate will hold a PhD in the field of psychology, neuroscience, computer or data science, physics, or physiology with brain imaging experience
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characterization, scientific computing, and artificial intelligence. Applicants should have: A Ph.D. in mechanical engineering, materials science and engineering, applied physics, computational science, or a closely
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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processing stage of the olfactory system, adjusts how it encodes odours in response to behavioural context. You will use in vivo two-photon calcium imaging in mice, alongside behavioural assays and
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Skills, Qualifications & Requirements: Required Qualifications The ideal candidate will hold a PhD in the field of psychology, neuroscience, computer or data science, physics, or physiology with brain
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to process and analyze datasets. The project will combine mechanobiology, spatial omics, quantitative imaging, and computational biology, providing a highly interdisciplinary research environment. MBI and NUS
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Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare
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use in vivo two-photon calcium imaging in mice, alongside behavioural assays and computational modelling, to track how learning-driven changes emerge in these early circuits and how this shapes
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coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge