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invites applications for a Postdoctoral Fellow position. The Liu Group performs research in synthetic and physical organic chemistry, with an emphasis on catalysis. Two major areas of interest
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magnetotransport). They will analyze device performance metrics such as output signal, switching speed, energy consumption, endurance, and scalability, and benchmark them against existing technologies (CMOS, MESO
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, including language, gestures and eye-tracking data. Perform joint analyses of multimodal data. Write up the output papers, including the relevant literature review (covering linguistic typology and language
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microscope iii) high-performance computing resources iv) access to state-of-the-art facilities (ESRF, HPC Jean-Zay) The team is young, dynamic, and strongly focused on integrated approaches in structural
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thin films and photovoltaic devices; execute a staged fabrication pipeline spanning candidate selection, thin-film deposition, high-throughput device fabrication, and high-performance device fabrication
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
experience in geochemical modelling. This is a full-time, two-year position, contingent upon funding, performance, and a successful renewal at the end of the first year. This position will be located at MIT
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
, and real-time classroom monitoring. Design and implement machine learning models to analyze multimodal data (e.g., student behavior, engagement, and performance) to enhance personalized learning
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perform quantitative image analysis. Perform molecular and cellular assays (flow cytometry, immunofluorescence, qPCR, etc.) to characterize immune and tumor phenotypes. Collaborate with biophysicists, cell
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development of new battery chemistries (all-solid-state batteries for example) and large-scale applications require ongoing improvements. Proper functioning of a classical Li-ion battery requires the formation
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mouse models. · Perform mouse metabolic phenotyping and data analyses (e.g. glucose and lipid metabolism, glucose-stimulated insulin secretion, energy expenditure, and histology) · Apply