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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources. Apply artificial intelligence and large
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: To conduct independent research in large
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learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing next-generation intelligent
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale
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epilepsy using very large EHR datasets. Real world data in EHRs includes extensive and rich detail about the presentation, phenotype, investigations, diagnosis, comorbidities, treatments, encounters with
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and developing multi-agent systems for large language models (LLMs). Investigating the security challenges and information propagation theories in multi-agent system. Writing high-quality research
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both