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-throughput screening, and online/in situ characterization with active-learning and Bayesian-optimization pipelines to guide experiment selection Build agentic artificial intelligence (AI) workflows and FAIR
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track record in one or more of the following areas, or a combination of these areas: Knowledge-grounded artificial intelligence and knowledge graphs, including large language model (LLM) and retrieval
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, and participation tracking Administer assessments and manage the merging, cleaning, and quality control of survey, assessment, and administrative data Conduct quantitative analysis of skill growth and
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field. Strong candidates will have a track record of research in peptide quantification and analysis (LC-MS/MS, HPLC, or equivalent), experience studying peptide-immune cell interactions, microbiome
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, Cell and Molecular Biology, Biology or a related field. Strong candidates will have a track record of research in rodent behavioral testing, proficiency in CNS analysis, including histology of brain
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track record of research in rodent behavioral testing, proficiency in CNS analysis, including histology of brain sections, demonstrated skill in stereotaxic injections, human cerebral organoid models, use
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written and oral communication skills and demonstrated ability to write peer reviewed quality work or invention disclosures for patent applications, technical reports. Consistent track record
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, social/digital media and health outcomes are a plus. Preferred Qualifications Candidates with a track record in conducting mixed methods research, including population-based surveys, qualitative methods
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-style training in laboratory methods and embedded security research. ● Support project management by tracking milestones and deadlines, assisting with acquisition of laboratory resources, preparing
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communication, work ethic, and interpersonal and team leadership skills. A track record of scientific publications in relevant fields. Experience with models of myopathies or inflammation. Familiarity with stem