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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 25 days ago
within a Research Infrastructure? No Offer Description Doctoral Researcher Position — Strain-Rate-Dependent Effects of Defects in Composite Materials Host institution: University of Freiburg, Institute
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. Focused on student academic achievement and postgraduate outcomes Welcomes difference and models respectful interaction with others Engages with the community both within and outside of ACC Job Posting
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Training (CDT) in Innovation for Sustainable Composites Engineering (ISCE), a doctoral training programme focused on developing the next generation of specialists in sustainable composites. The CDT in
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How does the microbiome surrounding a plant determine whether a pathogen can successfully invade? And can we predict disease outcomes from microbiome composition and plant phenotypes? Join us as a
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model that promotes sustained excellence for all Olympic varsity sports teams at Texas A&M. Collaborates with Performance and Wellness and sport staff to create an optimal fueling environment for student
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oxidized nitrogen in the troposphere”. The Atmospheric Chemistry group at ETH conducts research exploring the processes controlling tropospheric composition (gases and particles) and their intersection with
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chromatographic techniques such as LC-MS and GC-MS. Additional experience in the bioprospecting of bioactive extracts, particularly in the assessment of their biological activity using cell-based models, will also
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and observable envelopes, suggests that the compositional boundaries these planets are usually modelled with may not exist. This opens a set of questions around miscibility, demixing, and chemistry
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Research Studentships (for students of a Master or Integrated Master students) - (BL139/2026-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 days agofor combined heaT, poweR, hydrogen fUel and wastewater treatMent”. This workplan aims to integrate a simulation model of a Photoreactor for wastewater treatment into an existing optical-thermal simulation model
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on the topic of Compositional Learning for Vision Foundation Models. The aim will be to explore compositional learning strategies (e.g. attribute-object visual representation, or other forms) to reduce the data