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public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in
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and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface of bioengineering, computational biophysics, and data-driven modeling, with strong links to open
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX
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models, (d) computer vision and medical imaging, (e) agentic AI systems, (f) software engineering for high-TRL AI prototypes. Overseeing daily engineering workflows and coordinating technical activities
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1 Mar 2026 Job Information Organisation/Company Fundació Privada I2CAT Department Software Networks Research Field Technology » Telecommunications technology Researcher Profile First Stage
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, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and
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) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP Knowledge of or experience with semantic
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Posting Title Graduate (Summer) Internship - Dynamic Observability & State Estimation for Large-Scale Distribution Grids . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week
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Research Institute, SOM Dr. Jessilyn Dunn PhD, Engineering Dr. Wylin Wilson, PhD, Divinity Choose Duke. Join a world-class research environment at Duke University, where innovation and collaboration drive
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, machine learning, and data-driven modeling methods, physiology, transport, fluid and solid mechanics, systems analysis, circuit prototyping, technology transfer, and biomedical design practices, in