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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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international journals and conferences. Experience working in multidisciplinary and international research environments. Excellent analytical, communication, and scientific writing skills. Ability to work
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | 2 months ago
must provide contact information for at least two recommenders in your application. The first two recommendations received will be attached to your application for review by NETL. You may click the "send
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with less than 5 years post receipt of PhD. Demonstrated research experience in at least one of the lab’s research thrusts. Good programming and analytical skills, and willingness to work with new
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. Experience with big data analytics, Python, and an affinity for acquiring new skills in this area. Ability to collaborate with both scientific and industrial partners. TU Delft (Delft University of Technology
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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sustainable energy technologies. About us The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research
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data analytics, Python, and an affinity for acquiring new skills in this area. Ability to collaborate with both scientific and industrial partners. TU Delft (Delft University of Technology) Working at TU
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10 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electronic engineering Engineering » Thermal engineering Researcher Profile
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python