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obtained) start your degree 31 March 2027 have an honours degree (First Class or Second Class – Division A) or masters degree with a research component in one of: biostatistics statistics mathematics
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preferred (Master’s degree or higher). Skills and Knowledge: Proficiency in programming, traffic simulation, statistical modeling, and machine learning/deep learning techniques. Excellent communication skills
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doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results
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, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results into useful decision support Publish and communicate results and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
to any upload field): cover letter with a brief description of experience as an RA and any independent research; description of familiarity with statistical and computer packages; names of two references
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
include (in one PDF uploaded to any upload field): cover letter with a brief description of experience as an RA and any independent research; description of familiarity with statistical and computer
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, the alignment with WP5, and available supervisory capacity within the consortium. Application Conditions and Equal Opportunity The specified nationality and gender are used for statistical purposes and are not
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and health. This is a unique opportunity to bridge mathematics, statistics, AI, and biomedical research in a highly interdisciplinary research environment. About us Fraunhofer-Chalmers Centre (FCC) is
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of relevant experience. Must have extensive expertise in computational modeling, including strong coding skills in Python. Strong statistical and mathematics background. Preferred Qualifications Merkin Bridge
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apply advanced statistical and computational methods to analyze genetic data generated from simulations, outputs from biophysical models, or empirical genomic data to answer questions in spatial