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Field
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to predictably control and exploit the drop for useful tasks. Aims: Develop computational models to quantitatively predict the response of chemically active drops to the various physico-chemical stimuli
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candidate (m/f/d) for the “Development of a digi-tal twin and model predictive control for filtration processes”. Project Join a research initiative in the field of Industry 4.0 and cyber-physical systems
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the 1990s, continuing its theoretical development and application for ocean forecasting and climate predictions. NERSC leads DA development in the Norwegian Climate Prediction Model (NorCPM), which delivers
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for socially intelligent embodied agents. The central idea is to build predictive models that jointly represent people, the surrounding environment, and the actions of the embodied agent. Information from video
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such as probabilistic machine learning, uncertainty quantification, conformal prediction, time-series forecasting, or anomaly detection, but candidates with relevant experience in other areas of machine
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 7 hours ago
policies, with a focus on robot legibility, making learned robot behavior interpretable and predictable to the humans working alongside it. The Technical Associate will build and maintain the lab's VR-based
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-quality agents, predictive models that can transfer across machine families, prescriptive decision support, operational dashboards, and ensuring the delivery of methodologies, documentation, training, and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
maintenance of command-line and web-based applications deploying machine learning (ML) models for chemical synthesis planning, property prediction, and molecular design and will work closely with faculty
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Kong Chian School of Medicine. The role will focus on analysing genomic and clinical data and supporting the development of cancer survival prediction models. Key Responsibilities: • Analyse and
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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental