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learning (ML) to address future physics and detector challenges. Current physics interests include Standard Model measurements and searches for new phenomena. We welcome applicants who are excited
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications
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editing, high-throughput CRISPRko/i/a screening, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically
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associate will carry out research in exoplanet characterization modeling to aid in the ongoing development of NASA’s Habitable Worlds Observatory (HWO). The associate will collaborate with the Robinson
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Computer Science (EECS)/Energy Systems Innovation Center (ESIC) to develop high-fidelity grid-forming inverter models and high-voltage direct current (HVDC) models, and investigate their impact on the power
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operation. Translate device concepts into CAD models and engineering drawings, and coordinate component fabrication, procurement and assembly as required. Analyse and interpret experimental data, maintain
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, 2019, Cell Reports, PMID: 31509745; Lin et al, 2019, EMBO Mol Med, PMID: 31633874, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be
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skills Experience with mammalian and bacterial cell culture, and immunoassays (ELISA). Experience with animal models and common procedures used in animals (blood collection, etc.) Knowledge, Skills, and
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these perspectives into the landscape and survey models. With project partners, make sure that new data and legacy data are properly maintained with metadata kept to international standards. With project partners
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Laboratory. You will be responsible for: Advancing numerical modelling methodologies for 3D woven composites Designing and conducting high‑rate and impact experiments on 3D woven composite architectures