95 algorithm-development-"Newcastle-University"-"Newcastle-University" Postdoctoral positions at University of Washington
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to achieve the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D
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development. • Genotype-Phenotype Correlations in 9p-Related Syndromes: Investigating the genotype-phenotype correlations in 9p-related syndromes (e.g., 9p deletion syndrome, 9p duplication syndrome
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Position Summary The Seáñez Lab is seeking a postdoc to work on a project aimed the development of spatiotemporal control of non-invasive stimulation to restore movement in spinal cord injury
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the supervision of a faculty mentor including (but not limited to): Human Subjects Research Design and conduct research experiments following instructions and discussions with principal investigator. Develop
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, immunotherapy. A postdoctoral position is available immediately for applicants interested in the development of various biologic and bioconjugate therapeutics applied as immunotherapies to cancer. This position
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the mechanisms and conditions driving the evolution of biological diversity, with a focus on animal behavior. This position will provide an excellent opportunity for the successful candidate to perform research
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-generation rare pion decay spectrometer, which aims to test flavor universality up to the PeV scale. The University of Washington’s group, led by Quentin Buat, David Hertzog and Peter Kammel, is developing
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At-Risk U.S. Communities." The postdoc will work closely with communities in flood-prone regions of the Midwest and Mississippi Delta to develop tools to predict health risks from flooding and assist local
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join an NIH-funded project investigating brain and behavioral development in early childhood. This longitudinal study focuses on auditory processing and aims to identify neural and behavioral predictors
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease