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SPECIFICS The Department of Mechanical Engineering at the Pennsylvania State University is seeking a Postdoctoral Scholar in the Electrochemical Engine Center (ECEC) in the field of researching the safety
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computer science, data science, statistics, bioinformatics, electrical engineering, computer engineering, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience
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19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Researcher Profile Established Researcher (R3) Application Deadline 16 Sep 2026 - 23:59
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22 Jul 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Computer engineering Researcher Profile First Stage
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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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Engineering, visit rug.nl/fse . For more information about the APE group please use the following link: www.rug.nl/research/ape Questions about your application process? You may contact Friso Salverda, Human
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday
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combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system development incorporating a range of decarbonisation technologies. This position is part of the EPSRC
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the human musculoskeletal system, or experience providing engineering, hardware, statistical, or algorithmic support for such research (e.g., in biomechanics, biomedical signal processing, analysis of data