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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in biomedical engineering, molecular biology, materials science, or related discipline
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will have a PhD (or close to completion) in Computational Fluid Dynamics with relevant experience in chemical engineering, heat transfer, combustion for direct application to plasma gasification using a
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bases de datos oficiales. • Nivel alto de inglés, especialmente en redacción y comunicación científica. • PhD in Civil Engineering, Transportation Engineering, or related fields (Urban Planning, Geography
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-class biologists in the Harvard medical area. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field. Superb
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Engineering at Southampton you will benefit from the extensive network of collaborations with members of the group. There will be an opportunity to guide PhD and Master students. Funding is available initially
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inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science
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LevelPhD or equivalent Research FieldAgricultural sciences » AgronomicsEducation LevelPhD or equivalent Skills/Qualifications PhD required, good knowledge of data analysis methos, statistical analysis, QGIS
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of Pittsburgh, Swanson School of Engineering, invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, biomedical engineering, or closely related disciplines for a non
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close to completion) in Computational Fluid Dynamics with relevant experience in chemical engineering, heat transfer, combustion for direct application to plasma gasification using a commercial CFD code
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics School Harvard Medical School Department/Area Position Description The Farhat Lab in the Department of Biomedical Informatics is