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inverse modeling methods, machine learning, and artificial intelligence techniques. Appointment Details: Start date: As early as February 1, 2026. Annual Salary: $52,000 Application review: Ongoing until
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on reporting portion sizes Responsible for study follow-up activities Responsible for data management using ASA24 and ESHA software Analyze dietary date and estimate nutrient intakes using ASA24 and ESHA
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tissue culture, genome editing, FACS, microscopy and other fluorescent detection methods, nucleic acid extractions, next generation library construction and sequencing, immunoprecipitation techniques, and
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Position Summary: Proposed project title: “Targeted & Non-targeted analysis of PFAS in food packaging“. Develop and apply liquid chromatography (LC) methods coupled with high-resolution mass spectrometry
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: Designing and engineering nanostructures using computational methods Cconducting experiments to assemble and characterize DNA-scaffolded protein mimics Preparing manuscript for research articles Writing grant
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components required for prime editing, as well as the development of efficient delivery methods. Apart from correcting disease-causing mutations, the potential of introducing protective mutations will be
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preparation, long read (PacBio, Nanopore) library preparation, RNA-seq, single cell RNA-seq, genome editing, etc.) Demonstrated basic computer programming skills (e.g. ability to use R, Python or other
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, optogenetics, and computational methods, this project aims to elucidate how prefrontal cortex neurons form short-term memories of reward to guide an animal’s actions. The research will examine interactions
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models for reliable predictions, along with uncertainty estimates. Advancing multimodal foundation models (images, text, clinical data), temporal 3D generative models for longitudinal MRI, and MLLMs
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on enhancing health science education by applying psychological and educational theories, interdisciplinary research methods, and leveraging advanced technologies. Their research is primarily informed by