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, long-term visiting scientists and participants of strategic-selected community-driven workshops. It will help guide the basic research and co-design efforts to evolve simulations from present-day NISQ
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data to investigate flood-related health risks. Disseminate findings to the broader research community through conference presentations and peer-reviewed publications. Participate in convergent research
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on the subject: • Pottier et al., “Deciphering Distinct Genetic Risk Factors for FTLD-TDP Pathological Subtypes via Whole-Genome Sequencing”, Nature Communications, 2025. • Patel et al., “Whole genome sequencing
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the opportunity to engage with the interdisciplinary community of UW researchers with interests in fiber sensing and join the UW eScience Institute (https://escience.washington.edu ) as a Data Science
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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. Commitment to Diversity The University of Washington is committed to building diversity among its faculty, librarian, staff, and student communities, and articulates that commitment in the UW Diversity
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fields ideally in the context of a biological research project at genomic/metabolic, cellular, organ, or systems levels. The successful candidate will have excellent communication skills (oral and written
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the university’s outstanding biomedical research community. Fellows will benefit from a supportive, collaborative environment designed to foster scientific productivity, cross-disciplinary learning, and career
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participating in Departmental and extramural scholarly activities. Candidates with a strong track record of scientific excellence and outstanding communication and technical skills are preferred. Experimental/Lab
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: Ph.D. in Microbiology, Cell biology, Biochemistry or other related discipline. Extensive expertise in mammalian cell culture and bacterial genetics. Excellent communication, writing and teamwork skills