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platforms, including robotic systems, laboratory automation, and AI/machine learning-assisted approaches for experimental design, optimization, and materials discovery. The research will target advanced
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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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, and/or artificial intelligence and machine learning. Familiarity with analog, mixed-signal or RF integrated circuit design and simulation tools will be considered an advantage. Good analytical and
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of objects for the real-time segmentation of point clouds. Experiencia demostrable en el manejo de técnicas de aprendizaje automático (ML/DL) aplicado a imágenes. / Proven experience in the use of machine
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electrochemical and CO2 removal research. Electrochemical process on interface phenomena MOF synthesis, testing under different conditions Simulation of scaled up process. Interface with machine learning group
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digital learning platform for educators and learners. The role offers an exciting opportunity to work at the intersection of technology, education, and digital innovation. The postholder will be responsible
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the research themes of software engineering, engineering computing, sensor networks and measurement technology, grid computing and physics data analysis, machine learning, and interactive and collaborative
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
connections between wet and dry lab, bringing together computational biologists building new methods at the interface of structural biology and machine learning and experimentalists studying how proteins
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statistical software (e.g. Stata, R) • Advanced knowledge of statistical and machine learning methods for longitudinal data analysis • Familiarity with complex, longitudinal datasets from survey and register
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an advantage: plasma surface functionalization; electrode/electrolyte interfaces; battery degradation modelling; microstructure-resolved modelling; tomography or image-based electrode modelling; machine learning