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recruiting postdoctoral researchers. The group integrates artificial intelligence, structural biology, and high-throughput experimental techniques to study sequence–structure–function relationships that shape
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UnitedKingdomTime) Position Description: Apply Position Description The project involves mathematical modelling of complex fluid dynamics, in particular viscoelastic flows in nano-structures. The work involves
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-electron microscopy–based approaches. More information about the laboratory can be found at: https://www.cryo-em.psu.edu/ . The postdoctoral scholar will contribute to ongoing projects to define structural
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Austrian Academy of Sciences, the Institute for Habsburg and Balkan Studies (IHB) | Austria | 4 days ago
order to provide appropriate workplace structures, in particular for persons with disabilities. Where to apply Website https://oeawnr.onlyfy.jobs/application/apply/3yf1vzzsz2dkyla18sulp7wqs0ii5gu
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structures and activities. The postdoc will lead the compilation, annotation, and integration of microbial volatile data, linking metabolomic profiles to microbial genomes, traits and ecological functions
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
especially more severe and frequent drought events, which alters their structure, biodiversity and functioning and threatens their renewal and carbon sink. Their vulnerability is expected to increase in
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producing well-structured, user-friendly, reproducible research code (e.g., packages, documented pipelines, open-source contributions, or similar). Written and oral communication skills, with the ability
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minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at
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of supplementary cementitious materials obtained from waste and by-products, including construction and demolition waste. The properties that will be investigated are mainly the rheological behavior with time and
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implement machine learning models dedicated to the prediction, interpretation, and quantitative analysis of Raman vibrational spectra, establishing explicit links between structure, local chemical environment