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Please send your application (in one single PDF file, including motivation letter with at least 1 and max. 3 research projects you would like to apply for, curriculum vitae, contact information of two
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PhD Studentship: Enhancing Material Properties and Longevity in Maxillofacial Reconstructive Devices
of working with polymers and materials characterisation. Knowledge or experience o f medical/dental devices or prosthetics and computer-aided design. How to apply Dr Keith Winwood (K.Winwood@mmu.ac.uk ) will
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Address key challenges in long-term air pollution forecasting Possible Research Focus Areas Data Imputation Integrate space–air–ground multi-dimensional observations (including UAV vertical profiles
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must be classified as a Home fee status student. How to apply For further information please contact: Name: Professor Tracey Temple Email: t.temple@cranfield.ac.uk If you are eligible to apply
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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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Rietveld refinement of X-ray diffraction data. A background including experiments conducted at large scale facilities. Knowledge of magnetic properties. Experience with measuring vibrating sample
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streams and generate data for analysis and model validation. The project is embedded in the international research projects BeyondBattRec and SpurUp, so you will collaborate with partners across
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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information
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evolutionary timescales. Your tasks Compare historical and modern North American peregrine falcon populations using museomic data Assemble high-quality reference genomes from modern tissue samples and generate
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: Kerstin Schepanski, schepanski(at)tropos.de By submitting the application documents by e-mail, the applicant agrees to the storage/processing of personal data in accordance with Art. 13 DSGVO