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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 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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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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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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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
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twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa
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. Empa is a research institution of the ETH Domain. The Laboratory for Biointerfaces performs material-related research and focuses on understanding, characterizing and steering interactions
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, and energy efficiency will be performed to optimize desalination processes for regional sustainability. The successful applicant will oversee projects, develop extensive technical expertise, and
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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performing computational analysis of cutting-edge sequencing datasets. S/he will be in charge of the analysis of single-nucleus RNA/ATAC-seq and spatial transcriptomics data from brain tumor patient samples