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Field
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algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1. Ph.D. in relevant technical field 2. 6 years experience in
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and software. In addition, they will work on algorithm development, optimization, programming, and computer science research. Hourly Salary Range: $37.60 – $78.35 JOB QUALIFICATIONS Qualifications All
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training. His research focuses on developing algorithms to predict gene targets and target tissues affected by chemical exposures, as well as investigating how environmental exposures influence human health
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Research Assistant for Applied Mathematics - Responsibilities - Analyze a dataset of case law in the domain of worker classification and develop algorithms to predict judges decisions based
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 15 hours ago
, reinforcement learning, and computational game theory to address this gap. Fellows will contribute to advancing the next generation of models, algorithms, and system architectures for autonomous systems, multi
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scale. Test methods for calibration corrections and noise reduction in retrieved data. Test algorithms for retrieval of sea surface temperatures from infrared radiances. Test algorithms for cloud masking
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» Informatics Computer science » Modelling tools Mathematics » Applied mathematics Mathematics » Algorithms Mathematics » Computational mathematics Mathematics » Statistics Physics » Statistical physics Physics
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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algorithms, NLP models, and LLMs to analyze complex data. Designs and implements novel data science methodologies for predictive modeling, causal inference, and probabilistic analysis in clinical and