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aims to develop new foundations and technologies for reasoning and planning that leverage large language models (LLMs) and integrate them with complementary approaches, including program synthesis, and
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implicated genes act in neurons and circuits. We use large scale, unbiased, systematic approaches in collaborative multidisciplinary research teams. This postdoctoral fellowship in the Arlotta lab involves
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utilization, and disparities in access to mental health care. The most important task of the Research Assistant will be to use statistical software to work with large data sets, including possibly health
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) to uncover patterns and mechanisms of animal influences on ecosystem properties and functioning. The Davies Lab have used unoccupied aerial vehicles to collect a large amount of LiDAR data spanning natural and
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22-May-2024 Harvard T.H. Chan School of Public Health 65840BR Job Summary We are seeking a Research Assistant (RA) to help with assessing fatty acids from large patient studies. The RA will be
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preferred, and this can take various forms: working with large model simulations or large data, compiled programming languages, algorithms, etc. The position is an especially good match for candidates
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harness the imagination of academia and the focus of industry to translate ground-breaking technologies into commercial products that solve big problems. We support research that universities, companies
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harness the imagination of academia and the focus of industry to translate ground-breaking technologies into commercial products that solve big problems. We support research that universities, companies
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Science and Engineering Position Description The successful candidate will work on using geostationary satellite observations to detect and quantify large atmospheric methane releases. They will also have
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to summarize biological data. The candidate is required to interact with a large variety of other staff and researchers including graduate students, postdoctoral fellows and senior scientists, as required