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: ED431F 2024/23 Job title: PROY. PI TRAYECTORIA EXCELENTE2024 - Criado Fernández, Alejandro Research line / Scientific-technical services: Chemistry of low-dimensional materials Grant/funding period: START
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Nanomaterials for Biomedical and Environmental Applications Two-Dimensional and Quantum Materials for Next-Generation Devices AI-Driven Smart Sensor Technologies COLLEGE OF ENGINEERING AND COMPUTER
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experiments. The multi-energy x-ray tomography system will also provide two-dimensional measurements of electron temperature and impurity content, focusing mainly on nitrogen and tungsten. The proposed work
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experience with biological datasets, or high-dimensional data and knowledge in biology is preferred Applicants must submit the required materials in Academic Jobs Online. To Apply, please click the following
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track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine
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neurodegeneration and cognitive function. Analyze high-dimensional data to identify molecular pathways and targets relevant to Alzheimer's disease and age-related decline. Collaborate with lab members and external
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Two-Dimensional and Quantum Materials for Next-Generation Devices AI-Driven Smart Sensor Technologies COLLEGE OF ENGINEERING AND COMPUTER SCIENCE The College of Engineering and Computer Science (CECS
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comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC-TOFMS) for a period of up to 17 months. This work has significant potential for impact in understanding environmental
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a Research Infrastructure? No Offer Description Interested in tolerancing and geometry assurance? Join us at the Department of Industrial and Materials Science, Chalmers University of Technology , and
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the formation of two- and three-dimensional DNA structures which