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developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral
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Language Models (LLMs) to systematically code rich qualitative case narratives. This AI-assisted case-survey method enables rigorous large-N cross-case comparison, preserving contextual depth. GAPS will
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analysis. - Adapt the team's existing data analysis protocols as needed. Expertise in coding (Python, ImageJ) would be a plus. - Be able to communicate research results, whether within the team
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and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By
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Contribute to data presentation to collaborators and in meetings and conferences The ideal candidate will additionally have experience in: Duplex sequencing analysis Statistical analysis Advance coding in R
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: MPIDS-W092 Job Offer from July 28, 2026 In the Department of Living Matter Physics (LMP) we seek to fill several Postdoctoral Researcher positions - Statistical Physics and Active Matter
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stress and distortion in large-format structures Experience with CAD/CAM, MATLAB, G-Code Knowledge and/or experience with solid-state manufacturing processes, including friction stir processing and welding
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data. Implement, test, document, and maintain research software; integrate trained models with surface-hopping and related nonadiabatic or path-integral workflows and with relevant simulation-code
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 11 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-PIP-2026-Shekhawat How to Apply A complete application consists of: An application, including academic history, work
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, or comparable subsurface storage applications. Experience with established groundwater modelling frameworks; experience with MODFLOW, MT3DMS, SEAWAT or closely related codes is an advantage. A solid understanding