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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize
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laboratories of Dr. Juliana Vasco-Correa and Dr. Christine Costello on multiple funded research projects, performing computational modeling of crop and livestock production and forestry systems, and
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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energy-related research challenges in the Greater Permian Basin region. This position will support the State of Texas Advanced Resource Recovery (STARR) program at the Bureau of Economic Geology (BEG
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classes in the graduate and undergraduate curricula and/or similar classes, either in an in-person or online modality: ● Quantitative and Psychometric Methods ● Multivariate Statistics ● Measurement
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse and inclusive work
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits