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crystallization from mixed salt solutions and elucidate salt weathering mechanisms at micro and macro scales in heritage materials. Your work will bridge the gap between theoretical predictions and real-world
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/ training 3 years’ experience in healthcare data science or comparable field Hands-on data science problem solving with real-world, complex data sets. Experience applying machine learning, predictive analytic
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learning, generalization/robustness and privacy aspects in scalable learning algorithms. Large‑scale optimization and control: Optimal control, model predictive control and other optimization‑based control
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regression to represent unknown dynamics for model predictive control. Despite the practical success, there are still many theoretical open questions regarding scalability, uncertainty bounds and deriving
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over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https
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class material, discussing the text, predicting test questions, formulating ideas for class projects, or working on solutions to problems. Works on projects that support the program during their scheduled
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, climate change, weather prediction, natural hazards, Earth resources and land use. Additional information about the department and its facilities can be found at: https://meas.sciences.ncsu.edu
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-agent navigation in constrained environments - Predictive collaboration with heterogeneous teaming - Perception-aware predictive motion planning - Distributed and cooperative control - Body aware motion
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Controller is advertised for the project: "Creation of an open platform for access, capture, storage and decentralised exchange of health data in real time of the Clínico-Malvarrosa Health Department for cloud
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: Textual Prediction of Survival (LLM classification & Attention Modelling) This project develops a model to predict patient survival by analyzing heterogeneous clinical documents. Unlike traditional methods