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, Python, R, and related analytical tools. • Experience supervising or mentoring students or research staff. Knowledge, Skills, and Abilities • Demonstrated ability to manage multiple priorities and
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- Ph.D. in chemistry, physics, or a closely aligned field. - Demonstrated experience in conducting quantum scattering calculations. - Strong programming skills in languages such as Python or C/C
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- Experience with modern AI tools and applications (AWS, GCP, Azure, MLFlow, SQL, BigQuery, Snowflake) - Experience with development and manipulation of software code, such as Python, C, C++, Qt, JavaScript
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; running of Perl & Python scripts) are expected. The ability to integrate in a research team and to work independently are expected. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our
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of a new secure research data platform, and potentially others, similar to the Data Safe Haven (https://ri.itservices.manchester.ac.uk/dsh/). In particular: they will lead in architecting, testing and
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postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For more information on the lab please visit https://milbrandtlab.wustl.edu/ . Working Conditions: This
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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization