66 parallel-computing-numerical-methods Postdoctoral positions at University of Washington
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imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response to therapy. The position is
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research experiments, assesses findings, and compiles comprehensive reports. Maintains instruments, develops new methods, and optimizes existing ones. Keeps meticulous records of procedures and research
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, educators, and software engineers from I-LABS who want to bring the best methods of bilingual language teaching to early education classrooms. For this donor-funded research, the primary responsibilities
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disorders) populations. Our collaborative team is focusing on face-to-face interaction between children and their parents employing various methods to measure neural and behavioral responses during live
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about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking
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on this tradition, the program is now positioned to lead the next era of FLASH and ultra-high dose rate radiotherapy research, leveraging decades of excellence in both biological discovery and technological
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-mediated genome editing, computational image analysis (Fiji, Python), and/or high-performance computing. Interest or experience in nontraditional research communication methods and collaborative notetaking
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datasets (e.g., forest inventory, remote sensing, climate data) across Washington, Oregon, and/or California. Conducting advanced spatial and statistical analyses using methods implemented in R or similar
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positions starting in Autumn 2026. The INT’s local research interests include QCD, lattice gauge theory, quantum computing, many-body theory and nuclear structure, nuclear astrophysics, effective field theory
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section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Analytical Thinking, Collaboration, Communication, Computer Literacy, Data