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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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predictive models for evaluation of the role of dietary in health and disease and establish personalized dietary strategies for more effective disease prevention. In many cases, the work involves time series
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
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for defense, aerospace, and critical infrastructure. Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security. Experimental
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Job Description In the context of Industry 4.0, predictive and prescriptive monitoring are among the key tasks enabling the anticipation and prevention of errors, thereby reducing maintenance costs
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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understand and predict the behaviour, health and biodiversity of animals. Together, the PhD candidates strive for a better understanding of the ‘digital physiology’ of animals: how behaviour, , pathogens
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California State University, Long Beach | Long Beach, California | United States | about 22 hours ago
and safety prediction, automation and robotics in construction processes, computer vision in the AEC industry, emerging technologies, predictive analytics, prefabrication and modular construction