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Field
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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methodologically driven research environment. The position emphasizes the development and application of advanced analytical approaches to address fundamental questions in cancer disparities, while building a strong
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chemical biology, analytical chemistry, mass spectrometry–based omics, advanced imaging, and in vivo models to define the fundamental mechanisms governing brain lipid metabolism. Baylor College of Medicine
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neuroscientists and computer scientists to advance understanding of neural coding and circuit dynamics while contributing to publications, presentations, and mentorship within a highly collaborative research
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 28 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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regression, Cox proportional regression model, Poisson regression model) and Big Data analytics (e.g., machine learning, artificial intelligence [AI], text mining, generative AI) Knowledge/Skills/Abilities
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, energy poverty, and energy security Prior experience in qualitative, quantitative, or mixed-methods research. Technical competence in data analytics, programming, or modeling using tools such as Python, R
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. Strong analytical and problem-solving skills with demonstrated scientific independence. Preferred. Experience with fluorescence microscopy, particularly confocal and/or TIRF imaging. Familiarity with
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Qualifications: Designing and conducting experiments Data analytics or software development skills Supervising and mentoring graduate students Project management Writing funding applications Online Application
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responses (e.g., differentiation, vascularization, and cell–cell communication). Will design genetic circuits and assays; collect and analyze data using techniques such as flow cytometry, RT-qPCR, next