60 software-engineering-model-driven-engineering-phd-position Postdoctoral research jobs
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- Oak Ridge National Laboratory
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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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of both biology and (agent-driven) software engineering Fluency in written and spoken English Embraces complexity Our offer An interdisciplinary environment spanning wet-lab, technology-development and
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: Postdoctoral Researcher - College of Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 959-Center for Energy
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software developers, academic collaborators, and program partners. This position is based in Boston, Massachusetts, and comes with an initial two-year appointment. Renewal is possible, subject to funding and
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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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/data-driven modelling; parameter identification and optimization; scientific software development. Importantly, direct experience with PVD is not mandatory. Candidates with strong backgrounds in
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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, access to industry-driven case studies, real-world data, and state-of-the-art modelling tools. For the Project Researcher position, the successful candidate will be expected to apply for and pursue a
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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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About the role We are seeking to fill one position to undertake directed research activity as part of an EU project called FRAME (A Model-Based Foundry for Engineering, Adapting, and Assuring
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curation workflows, or handling noisy, imperfectly labelled historical data. *Practical knowledge of software engineering best practices, containerised deployment, or scalable data architectures