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oversee and develop algorithms for analyzing ensemble genomics data, single cell genomics data, single cell merFISH and sequential oligopaints imaging data, as well as novel molecular connectomics data
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
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testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in MOF synthesis and characterization. Special
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multimedia networks. IEEE Communications Magazine, 2013, vol. 51, no 6, p. 152-159. Work Plan Defence and Space, combining theoretical research, algorithm design, simulation, and experimental validation
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with benefits. Qualifications Ability to create and use statistical algorithms to answer complex research questions. (Required) Expertise in statistical analyses including generalized linear model
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subjects, including Programming, Algorithms, Computer Logic and Architecture, Web and Mobile Development, Human-Computer Interaction (HCI), Green and Sustainable Software Engineering, Software Engineering
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components and control algorithms for the printing process that take into account our theoretical understanding of the processes occurring and utilizing high-speed in situ data acquisition to respond
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 22 hours ago
—including translation efficiency prediction models, RNA secondary structure analysis, codon-pair and harmonization algorithms, and immunogenicity risk prediction tools—to help guide experimental design and
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making