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includes, but is not limited to: photonic data processing and communication systems; AI-driven optical signal processing and network optimisation; machine learning for photonic systems modelling, control
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of solidification science and metal casting are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Metallurgical and Materials Engineering (MTE: https
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in numerical methods or scientific computing. Familiarity with machine learning techniques applied to engineering problems is a plus. Good communication skills and ability to work independently and
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qualifications: Working towards a bachelor’s or master’s degree in the Price College of Engineering (i.e., biomedical engineering, chemical engineering, civil and environmental engineering, computer engineering
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Perform other duties as assigned Minimum Qualifications Requires concentration and strong attention to detail Basic computer skills required and a desire to learn new skills Must be able to lift 50 pounds
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27 Feb 2026 Job Information Organisation/Company Tallinn University of Technology Department Department of Computer Systems Research Field Computer science » Computer systems Researcher Profile
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for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn
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large-scale training of scientific foundation models You will collaborate with researchers across machine learning, scientific computing, materials science, and data engineering, and work with leading
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines