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Field
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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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, data-driven experimentation in colloid science. The successful candidate will contribute to the development of self-driving laboratory capabilities integrating robotics, high-throughput experimentation
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computational modelling, to track how learning-driven changes emerge in these early circuits and how this shapes perception. You will join a collaborative lab within a thriving neuroscience community at Leeds
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, the Norwegian Directorate for Higher Education and Skills (HK-Dir), the EU, and others. Responsibilities Project Description In this position, you will explore how learning-based control (data-driven control
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. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory, differential geometry, and/or data science
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year. Parental bonding leave (for both mothers and fathers) You will: Develop and lead hypothesis-driven research focused on autonomous thermochemical processing of complex mineral and melt systems, with
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University of Maryland School of Medicine, Baltimore | Baltimore, Maryland | United States | 3 months ago
disorders. Research Areas: Current projects in the Rathinam laboratory focus on: - Mechanisms of cancer-associated inflammation and immune dysregulation - Development of novel DC-based immunotherapies
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patients in South East London and beyond. About PharosAI PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI assets
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resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven methods
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knowledge of their development and structure. Working closely with colleagues at the Universities of Leeds and Reading, you will integrate theoretical understanding, observational data, and modelling