91 parallel-computing-numerical-methods "MIT" Postdoctoral positions at Yale University
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, machine learning and deep learning methods, and the responsible conduct of research. Training: The candidate will receive training in implementing advanced machine learning and deep learning models, and NLP
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PWUD. The Postgraduate Associate will assist with development of IRB protocols, survey instruments, mixed methods research, stakeholder engagement, data-collection tools (qualitative and quantitative
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applications or methods. Research is expected to be quantitative and data-driven. Research on the feedback between choices and the environment, natural resources, or nature-related risk or on valuing
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collaboratively in an interdisciplinary team. Good to have Experience in smart contract development, preferably in Solidity. Familiarity with cloud computing and shell script. Knowledge of biomedical
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Disease Epidemiology, Professor of Statistics and Data Science, with a focus on developing methods and tools for the analysis of electronic health records and real-world healthcare data. There will
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predict molecular subtypes and therapeutic responses. These tools power a precision oncology framework that enables data-driven treatment selection. In parallel, we generate patient-derived 3D
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non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar. Responsibilities
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organisms. Please note that we have a parallel search for computational neuroscientist faculty members at https://apply.interfolio.com/190740 . The successful candidates will be embedded in a richly
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-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning
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Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data Science, with a focus on developing methods and tools for