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Doctoral Candidates (DC1 and DC2) to carry out research in neuromorphic photonic-electronic integrated circuits for brain-inspired information processing and sensing (DC1) and in the development of efficient
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Welding in Vacuum We are developing a laboratory robotic simulator for testing stud welding in high vacuum (≥ 10⁻³ Pa) for space applications, with future utilization directly in orbit. The system includes
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turbine blades. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms
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for the Advancement of Surgery) initiative. The Research Associate will be responsible for developing machine learning algorithms and creating predictive models. The ideal candidate must demonstrate a robust background
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
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automation, programming, scripting languages such as Python, and algorithm development. You will have extensive experience of software development / PhD in Computing or in Chemistry with a strong computing
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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are not limited to: Learn research techniques to develop algorithms and models for the simulation of field data Participate in experimental activities such as research design, data collection, technical
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candidates must thus have a strong interest in algorithmic development as well as embedded hardware integration. Role and responsibilities This PhD project will be executed in close cooperation with