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postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML
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, Economics, or a related field, earned within the past six years Strong computational and statistical skills Experience with large-scale data analysis and machine learning Proficiency in scientific programming
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for data analysis and research. Machine Learning Skills: Experience with machine learning algorithms, transformers, or large language models to analyze genomic data. Computational Proficiency: Skilled in R
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education, with an emphasis on social and emotional learning, or curriculum and instruction K-12 experience Experience teaching mindfulness programs Qualitative data collection and analysis Coordinating
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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manuscript generation. This position will complete duties as follows: Partnership building and data collection Coordinating with professional learning organizations to ensure consistency data collection
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.
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metabolism in immune cells and applies these concepts to autoimmune diseases, inflammation, and cancer. More information about the Voss Lab can be found at: https://wzs4ya.wixsite.com/voss-lab . The focus
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to bring to the lab. They will be expected to help teach other trainees rotating in the laboratory, including pulmonary and critical care fellows, medicine residents, PhD candidates, medical students, and