974 process-engineering "https:" "https:" "https:" "https:" "DESY" Fellowship research jobs in United States
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The NTI-NTU Corporate Laboratory is looking for a Research Fellow to conduct research in industrial AI for adaptive manufacturing process optimization and decision support. The role will develop and
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materials/process datasets and robust scientific machine-learning models for sparse and noisy data. Design experiment-selection and decision strategies under multiple objectives and engineering constraints
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A Research Fellow position (equivalent to Postdoctoral Fellow in many countries/regions) is available in the School of Civil and Environmental Engineering (CEE), Nanyang Technological University (NTU
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A Research Fellow position (equivalent to Postdoctoral Fellow in many countries/regions) is available in the School of Civil and Environmental Engineering (CEE), Nanyang Technological University (NTU
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advanced computational and econometric methods. Design and implement AI- and large language model-enabled decision-making agents and research frameworks. Collect, process, and analyse large-scale financial
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the preparation and writing of research grant proposals. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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engineering teams to develop and integrate AI-based digital design solutions into existing and new software systems Analyze and assess current digital design flows, libraries, and system architectures to
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project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science
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Requirements: PhD’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal
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research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Strong background in machine learning and computer vision. Strong publication