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, computational chemistry, computational biology, or a closely related discipline. Demonstrated experience in the design of machine learning architectures such as GNNs, VAEs, or diffusion models applied
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: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud computing, and database development and
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for this Research Fellowship will have a strong background in a relevant discipline, including but not limited to anthropology, sociology, urban studies, architecture, history, environment and ecology, science and
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integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating
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knowledge of experience with python and modern machine learning architectures (e.g. VAEs, transformers) and libraries (e.g., numpy, pytorch or tensorflow or JAX frameworks). A4 Knowledge of mathematical
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of others, providing expert advice and guidance. Skills, Experience & Qualifications Needed A first degree in physical / engineering /architecture and a PhD in pollution and/health. Experience in sensors
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understand plasmadynamics and hypersonic flow physics, and 2) the exploration of transformational concepts for in-space power and propulsion using innovative laser architectures and/or rarefied atomic beams
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results. Preferred Qualifications: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud
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and industrial integration. • Provide expert-level technical and research support to the Architectural Engineering Group. • Contribute to ongoing research projects, funding applications
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subjects and in the following Arts/Humanities disciplines: Anthropology; Architecture; Modern and Medieval Languages (French, German, Italian, Spanish, Russian, Portuguese); Classics; Education; History