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Field
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
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. Ensure compliance with environment, safety, health and quality program requirements. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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with Down syndrome. These data sets are rich and ready for data analyses. The ideal candidate will have experience analyzing MRI data and an interest in language or communication. A two-year commitment
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programming language (preferable: MATLAB or Python) Experience with one or several of the listed human neuroscience techniques. Ability to work and learn independently and perform research with a high level of
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for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention
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language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimerâ™s disease (AD). You will have access to state-of-the-art computational infrastructure such as A100
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strong track record in problem solving and scientific publications. The candidate will be expected to conceive of, plan, and implement the scientific research, and to report relevant results in
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and an interest in language or communication. A two-year commitment is preferred. Responsibilities: Generation of Scientific Products (70%) Process and analyze data from NIH funded studies of infant
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Associate or by others in the research group, by collaborators in other groups or from publicly available datasets. The project may also involve use and development of software programs for analysis of multi