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mini-applications that embody key AI workloads by combining multiple underlying kernels and the key data communications between them. You guide and help analysis and optimization of the performance
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop
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quantitative data analysis, mathematical modeling, and experience in methodologic development and implementation; (d) be able to demonstrate a high level of creative ability in research in some subdivisions
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer
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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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Technologies“ [in:just:MetaPART] is part of the DFG Collaborative Research Center 1750 [in:just] “Inclusion - Recognition - Justice. Participation (Teilnahme) and Belonging (Teilhabe) in Processes of Growing Up
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Description The Centre for Cancer Genetic Epidemiology (CCGE) is recruiting a motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related
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addressing these research questions. Working context The selected candidate will work at the Institute of Environmental Geosciences (IGE) in Grenoble, located in the French Alps. IGE is a public research
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
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analysis and geomechanics Interest in uncertainty quantification/sensitivity analysis/optimization Proactive, independent work ethic and ability to work effectively in a multidisciplinary environment