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typical populations. We use a number of methods, including neuroimaging (fMRI), pharmacology, behavioral paradigms, and eye-tracking. This is a salaried, academic position focused on training in human
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Message 1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with
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the next-generation multi-physics simulation environment for hypersonics. To support these goals, the University seeks applicants with significant experience in computational fluid dynamics, methods
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excellent interpersonal, verbal and written communication skills, including the ability to negotiate, manage conflict and exercise tact and discretion strong problem-solving capability with the ability to use
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the design and characterization of high quality optical and optomechanical resonators Strong proficiency in finite-element method (FEM) and related simulation software (e.g. COMSOL Multiphysics, Lumerical
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to the development of privacy-preserving indoor localization methods using multi-modal deep learning, the design of wearable multi-sensor navigation devices, and the creation of datasets for indoor trajectory
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of the Portuguese Republic must be affixed. VII - Selection Methods: Evaluation of the academic record (AR) and Interview (I) VII.I - AR - In the evaluation of the academic record, the candidates' academic
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other research staff on ongoing projects. The ideal candidate will build essential research skills (including in cutting-edge research methods like M/EEG, fMRI, behavioral experiments), strengthen
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of research methods and techniques to work within an established research programme. Please ensure you read the Job Description and Person Specification for full details of this role. Further information Please
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health records (EHR), analytics data repositories, and clinical research Experience with data science methods or tools Experience with project management in a research setting Familiarity with MS Word