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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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radiological data, such as MR, CT and pathological images. Required Qualifications* The ideal candidate will have: A PhD degree in computer science, electrical or biomedical engineering, or medical physics
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affiliates). These fellowships are available for the following Natural and Physical Science discipline areas: Agriculture, Architecture; Biology; Chemistry; Earth and Environmental Sciences; Engineering
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Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M
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, focusing on the development and application of data analytics methods to process multimodal data to provide clinically useful insights into bipolar disorders. This is part of the £3m 5-year Wellcome Trust
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to key, but poorly understood, physical processes and parameterisations. At Exeter, the work will focus on understanding how processes such as clouds and convection, ocean heat transport, and continental
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict
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molecular composition and transient interactions of molecules within glycocalyces, and missing physics rules to interpret experimental observations. The GLYCOCALYX Network will train 15 PhD Fellows in
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between Psychology and the School of Physical and Mathematical Sciences. SPMS is a School under NTU College of Science. Our School is organized into two divisions: the Division of Mathematical Sciences and