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a network and experience working in cross functional and international teams Hands on mentality with Experience with wet-bench processes and chemical handling in lab. Experience with material
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data analysis (TDA) techniques such as persistent homology, with application in real data sets such as biomolecular data and network data Perform data preprocessing, feature extraction, and analysis
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to fourth year of Project 3, the main goals are to examine the changes in students’ peer networks and quality of relationships with key significant others (i.e., peers, parents and teachers), the influence
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/network/circuit patterns Perform characterization of structures using atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new
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resilience. Formulate novel research methodologies and contribute to the development of secure architectures for next-generation mobility and network systems. Collaborate with academic and industry partners
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emerging threats and system resilience. Formulate novel research methodologies and contribute to the development of secure architectures for next-generation mobility and network systems. Collaborate with
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: PhD in Materials Science, Chemistry, Physics, Computer Science, or a related field. Strong expertise in machine learning for materials science (e.g., generative models, neural networks, active learning
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studying how the brain encodes long term memories . Using a range of molecular and cellular techniques, we elucidate how stimulated cells, at the level of a single cell and also as part of a larger network
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, supported by access to rich datasets, computing resources, and collaborative networks. The position offers opportunities to contribute to impactful projects, mentor students, and develop research portfolios
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in Health Research Methods, Epidemiology, Computer Science, or a related field. Expertise in evidence synthesis and clinical guideline methodology such as network meta-analysis, GRADE. Experience with