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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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undertaking observations or focus groups setting up surveys in web-based survey tools and collecting online data support in developing and writing up case studies coding transcripts which may include developing
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Position Announcement We are seeking motivated university students to design, build, and deploy no-code AI solutions using Cerbrec Graphbook to address real-world operations management challenges
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USNH Employees should apply within Workday through the Jobs Hub app The Research Assistant will provide assistance with digitizing, coding, use of OCR (Optical Character Recognition) software
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. You will have evidence of post-qualification research experience, research experience in the analysis of large biomedical or biobank datasets, a proven ability to code and a strong publication record
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related field. Experience with finite element simulations and developing constitutive models. Knowledge of high temperature creep crack growth. Knowledge of engineering design codes such as the ASME Boiler
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to improving the quality and efficiency of the consortium code base. Preference will be given to candidates with a strong publication record and proven experience in Python programming, source code versioning
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transfer, non-equilibrium phenomena in realistically large solid/solid, solid/liquid, solid/gas interfacial systems. Code implementation of spectroscopic modules in electronic structure theory software
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& coordinates conduct of daily activities of research studies, as well as scheduling and follow-through of study visits, procedures, & other testing; participates in coding, data management (includes
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to translate logistical constraints into efficient, scalable code capable of high-speed, real-time decision-making. Integration Support While the programmer is not responsible for executing the physical or low