80 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Yale University
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Quantum Information Science and Engineering Theory Postdoctoral Associate Yale University: School of Engineering and Applied Science: Applied Physics: Yale Quantum Institute Location New Haven, CT
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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biosafety level 2 (BSL2+) lab), immunology (such as flow cytometry and CAR-T engineering), molecular biology (such as CRISPR, RNA biology), or animal models, (e) collaboration with other researchers both
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. Receive the IT support required by their research (e.g. specialized software or computation time). Additional Information The position is for up to four years, renewable annually based on performance
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collaborative research combining functional models of acquired drug resistance with the clinical validation of novel circulating tumor DNA (ctDNA) assays. While the primary focus is wet lab experimentation
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communication skills. Application Process: Interested applicants should contact Dr. Mark Lee, MD, PhD ([email protected] ) with the Subject line: “Postdoctoral associate position in the Lee lab” with a brief
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and mouse models of cerebrovascular disease Contribute to study design, interpretation of results, and preparation of manuscripts and presentations Required Qualifications PhD in molecular biology, cell
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cellular biology approaches. The Park Lab develops human stem cell-based neural models to investigate molecular and cellular mechanisms regulating neurodevelopment and neural function, and to understand how
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future. This post-doctoral position will investigate the use of knowledge graphs on automatically extracted metadata at a cross-disciplinary global scale. Using LLMs and traditional data engineering
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, knowledge graph techniques, provenance and art historical understanding, museum and archival processing, fine-tuning language models and other AI models, data transformation, and software engineering