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of the Built Environment, College of Design and Engineering, National University of Singapore. Key Responsibilities • Develop and implement control strategies for energy-efficient operation of building
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cell biology and computational modelling, especially using R, is an advantage. Experience with applied statistics is an advantage. Applicants must be able to work independently and in a structured manner
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an exceptional longitudinal dataset comprising functional MRI, structural MRI, and behavioural data from hundreds of individuals recovering from aphasia after stroke. You will play a pivotal role in carrying out
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expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University
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: Scattering Amplitudes; Higher and Derived Structures; Homotopy Algebras; Integrability; Quantum Algebras and their Representation Theory; Supergravity and Generalized Geometry; Semigroups; Topological Algebra
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, structured, and well-curated dataset with a focus on high-quality allied clinical data. You will be expected to collaborate closely with researchers and clinicians across Imperial College London and ICHT. You
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to project future data analysis. Managing and analysing large data sets using efficient data structures and providing infrastructure for sharing resources. Developing research objectives and proposals for own
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established the Center for Naval Research & Education (CNRE) at the University of Michigan (CNRE in the News ). Directed by Professor Krishnan Mahesh, the CNRE will address fundamental science and technology
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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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, circuit discovery, activation patching, and representation engineering, with a focus on compositional structure in learned representations, as well as testing universality across models and languages