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, functional Magnetic Resonance Imaging (fMRI), structural MRI, and predictive modelling approaches. As the assessment tools have already been established and implemented, the project is now at an exciting stage
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Materials Engineering Department will establish a series of structured merit-based evaluations. Initial appointments are for one year, with renewal contingent upon demonstration of research productivity and
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of modular floating structures. Optimize designs for dynamic environmental conditions (e.g., waves, tides, currents). Finite Element and Structural Modeling: Develop and implement finite element models
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: simulation and risk modelling using advanced statistical and machine learning based methods. strategic portfolio management and dependency structure modelling for financial assets. effects of climate change
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Experience of scientific research projects Knowledge of clinical research structures Experience of interpreting microbiological information for clinical care (culture and sensitivities, serology, point of care
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and TWI Ltd , BCC has been awarded funding to work with companies across Europe and UK in the aerospace, automotive, construction and engineering sectors. For more info about BCC, please visit
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of empathy in shaping health outcomes; access to healthcare; the implications of concepts such as the ‘medical gaze’ and ‘epistemic authority’; the social construction of health; the narrative ethics
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geophysics and/or marine robotics is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have excellent written and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
Experience, Skills, Training/Education: Experience with pangenomics, structural variation, and synteny analysis. Background in ecological genomics or plant adaptation. Experience mentoring students
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 20 days ago
/ML can uncover patterns across regulatory submission data to enhance understanding of drug response variability. Key training activities will include how to: 1) Curate and preprocess structured and