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mechanistic studies. Preparing research results for scientific publications and presenting project outcomes at seminars and conferences. Specific Requirements 1. PhD degree in chemical or physical sciences
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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following skills and experience: Essential criteria A PhD in Cell or Molecular Biology, Immunology or a related subject * Experience of mammalian cell culture (both primary and cell lines) Excellent knowledge
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week and your ending salary. You will also be required to upload a Cover Letter, CV, PhD transcript and as specific request 1, a copy of your PhD diploma. Optionally, you can upload a writing sample. To
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | about 1 month ago
. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a candidate with an interest in flight mechanics and sensory systems
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durability data with advanced numerical simulations. The researcher will be based in the Microlab (Section Materials & Environment), Faculty of Civil Engineering and Geosciences, Delft University of Technology
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environment with a team of a dozen academics, several postdoctoral researchers, and around 20 PhD students. You will benefit from their collective expertise in physics, geomechanics, geotechnical engineering
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mitigated. Key missions of the postdoctoral researcher: Model and simulate shipboard microgrids, integrating realistic dynamic marine loads, DERs,and energy storage systems. Design and implement advanced
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based courses at the bachelor, master, and PhD levels in Arctic Biology, Geology, Geophysics, Technology and Safety. UNIS exploits its year round presence in the unique Arctic environment, utilising
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement