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from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section
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components of advanced alloys; applies experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability
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Chemistry, Physics, Materials Science, or closely related fields. Previous experience in soft self-assembled nanostructures and scattering and microscopy characterization of nanomaterials is indispensable
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also includes a 12-month research stay at Columbia University funded by FAPESP (BEPE ). Mandatory requirements: PhD in Physics, Materials Science, or a related field, completed or with defense scheduled
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
epidemiologic skills and has worked in another infectious disease area. Special Physical/Mental Requirements Ability to travel internationally, including trips of approximately 2-3 weeks at a time. Ability to
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undergraduate or PhD students. Applicants must hold a PhD in chemistry, physics, materials science, or a related field, with a focus on crystallography. To apply, submit a cover letter, a curriculum vitae that
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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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7 Sep 2026 Job Information Organisation/Company Universty of Aveiro Department SGRH Research Field Technology » Materials technology Researcher Profile First Stage Researcher (R1) Positions Postdoc
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Researcher to join our interdisciplinary research program. Our lab investigates how bacteria and human mitochondria maintain homeostasis and respond to stress and environmental challenges. A central focus of
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and technologies. Knowledge of AI/ML is important, but the focus will be on the high-fidelity simulation environments, software networking bridges, and physical data collection architectures