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the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling, geotechnical laboratory testing, and complementary numerical simulations to improve understanding
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, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Contact information for 2 references will be requested from shortlisted candidates. Applications
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possible mechanisms of action, identify peculiar activity signatures and integrate cellular toxicity profiles to reduce false positives and guide compound prioritization. The models will be populated and
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applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
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terrestrial ecosystems” Summaryhttps://projekty.ncn.gov.pl/en/index.php?projekt_id=644096 Project leader: Dr hab. Maciej T. Krajcarz (e-mail: [email protected] ) Application deadline: August 31st,2026, 15
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials
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, and industry partners to gather data and align simulations with practical needs. The postdoctoral researcher will be helping the PI and experts in managing projects, supervising students, funding
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/ copy of highest degree, research statement, and at least 2 letters of recommendation, all in PDF format. Applications will be accepted immediately and candidates will be considered until the position is
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sensor networks are required. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format