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functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience collaborating
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Mississippi. Apply computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate
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cutting-edge, high-performance computing platforms • Have opportunities to publish in leading peer-reviewed journals, present research at conferences, and visit academic collaborators at CU Boulder and
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materials for applications in soft robotics and wearable computing and such other tasks that are assigned to you. Core Responsibilities: Responsible for performing independent research Responsible
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methods and foundations. Strong programming skills, including the use of Python / TensorFlow /PyTorch. Experience using high-performance computing systems. Ability to work with multidisciplinary teams
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Engineering or related area. You should have expertise in computational-modelling, analysis, and high-performance computing, with proficiency in CFD, fluid-structure-interaction and programming. Experience in
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in applying artificial intelligence and high-performance
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. Empa is a research institution of the ETH Domain. The goal of our Concrete & Asphalt Laboratory is to make cementitious and bituminous materials more sustainable and high-performing through both