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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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duration. Your role In the Phytophotonics department, you will work as part of an interdisciplinary team at the interface between plant sciences and optical technologies. The focus is on various
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Temple University, CST Biology Position ID: Temple -BIOLOGY -RAP [#30052] Position Title: Position Location: Philadelphia, Pennsylvania 19122, United States of America [map ] Subject Area: Biology
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 4 hours ago
Genetics, Neuroscience, Molecular Biology, or Related Discipline. Skilled in conventional molecular methods such as quantitative methods for qualitative and quantitative analysis of gene expression (qPCR
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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180005 - Research Assistant (Centre for the Study of African Economies) University of Oxford – CSAE, Department of Economics Project Title: Shock-Responsive Social Protection and Climate Resilience
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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the Phytophotonics department, you will work as part of an interdisciplinary team at the interface between plant sciences and optical technologies. The focus is on various spectroscopic and imaging methods
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 23 hours ago
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence