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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28159 Postdoctoral Researcher – Translational Oral Biofilm Research (m/f/d) Stellenanzeige merken
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investigation of atmospheric acoustics as well as hyperlocal phenomena in the atmospheric boundary layer (wind, temperature, and turbulence dynamics). This inquiry will include development of new experimental
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utilizing ex vivo airway epithelial cell models, including air-liquid interface (ALI) culture systems. Experience analyzing and interpreting transcriptomic datasets (e.g., RNA-seq). Experience working with
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(LREL), a flagship initiative combining solar, wind, battery storage and next-generation digital and modelling tools. This exciting role would suit a researcher who thrives at the intersection
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developing, modifying, or constructing experimental apparatus. Particularly relevant experience includes AC susceptibility, radio- and microwave measurements, magnetic penetration depth, optical magnetometry
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knowledge and practical experience in multi-step organic and inorganic synthesis, particularly with air-sensitive compounds and reactions. Where to apply Website https://app.recruitis.io/answer/form
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. The position is closely connected to our activities within automated quality assurance and structural health monitoring of wind energy components and your work will contribute to the development of new knowledge
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and coastal dynamics, and multi-physics systems (eg, wind–structure interaction) . About Us The newly established Chair of Computational Methods in Civil and Environmental Engineering develops advanced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
potential risks, including, but not limited to, extreme weather (flood, wind, hail, temperature), cyberattacks, pandemics, and liability risks (e.g., PFAS). Candidates with experience in both a technical
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biological samples (mould air and surface sampling) across study residences conducting quantitative data analysis across multi-site time-series IEQ datasets, including clustering, regression, and statistical