68 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at University of Washington in United States
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical
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Position Summary A postdoctoral position is open immediately in the laboratory of Dr. Li Ding at WashU School of Medicine in St. Louis, MO. We are looking for a highly motivated computational
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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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candidate will have research experience with nucleic acid extraction methods and PCR assay design. This is a full-time position with a 12-month service period, with the possibility for yearly renewal
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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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, 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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-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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and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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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