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on biofabrication using natural origin materials for the development of biomedical applications. Specifically: Processing and characterization of marine origin materials; Production of biomaterials for application in
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management tasks, including maintenance of a laboratory notebook, digital transcription and archiving of experiment data, and processing in field station samples. Work percentages: 100% research (90
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flexibility, rising uncertainties and complexity from rapid changing energy landscape. The successful candidate will have experience in: electrical and energy systems modelling, analyses, operation or planning
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Learning proper use of medical devices used for research and technology demonstrations. Documenting findings, results, and technical processes in detailed reports and presentations. Disseminating your
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Association. At the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), we investigate the fundamental biological processes that drive aging. Our research combines molecular, cellular, and systems-level
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 3 months ago
competency in Mandarin Chinese is also required. Application Process To be considered for this PhD, please complete the Collaborative Studentship application form available online via the 'Apply' button above
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Midlands Graduate School Doctoral Training Partnership; | Loughborough, England | United Kingdom | 3 months ago
background in psychology or education. Application Process To be considered for this PhD, please complete the Collaborative Studentship application form available online via the'Apply' button above. Applicants
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the process? Visit our scholarship guide Application How to apply You must submit an online Student Financial Assessment form (Round one) by the closing date. Contact For more information about this
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on the application procedure are available on the programme website . Application Deadline Up-to-date information is available on the programme website .
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into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth