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Field
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cleaning clinical trial data to ensure accuracy and readiness for analysis, as well as performing systematic checks and data management for missing or inconsistent data. The candidate will also be expected
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and synthesis of new materials. You should have a PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical
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collaborative team evaluating animal models in psychiatry research Be part of building a global resource that supports discovery and innovation The Opportunity The Psychiatry Monash team have 2 positions
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We are seeking a Senior Research Fellow (Clinical) to lead research that supports the co-design, implementation, and evaluation of innovative, multidisciplinary team (MDT)-based primary care models
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or microworlds, conduct laboratory studies, and construct computational cognitive models including paradigms in Cognitive Science (Instance-Based Learning models) or AI (Reinforcement Learning). The fellow will
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consists of empirical methods (observational and controlled experiments) and theoretical modeling (mathematical, statistical, and computational). The Fellow will work closely with Dr. Otárola-Castillo
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Research Associate/Fellow position at the School of Mathematical Sciences, Nottingham, for the duration of 3 years. The project deals with the development of mathematical tools and models to determine the
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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data collection, analysis and reporting Conceptualization and implementation of statistical models Collecting, managing, and structuring quantitative datasets Report writing and manuscript preparation
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biomarkers, and electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross