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experience with following: Experimental setup development Electron microscopy Probe microscopy Electromagnetism Nanostructure characterisation Tasks Further the understanding of biased surface diffusion by
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on the systematic measurement of thermal conductivity evolution with burnup in systematic series of samples available at SCK CEN using LFA and, if available, MEMS-TSB method. Where to apply Website https
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/development-clinical-micr… Work Location(s) Number of offers available1Company/InstituteSCK CENCountryBelgiumState/ProvinceAntwerpCityMolPostal Code2400StreetBoeretang 190 Contact City Mol Website https
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research in Bioelectroanalysis. This position focuses on the development of advanced electrochemical sensing technologies for real-time health monitoring and diagnostics. About UCAM-SENS UCAM-SENS is a top
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specific research Centre, of which there are twelve totals. Information regarding the research Centres, their activities and production are available at http://www.fbk.eu/research-centers . In particular
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above and our ‘Find a Supervisor’ page for information on our academic staff and their research interests. For guidance on writing a research proposal, please see: https://www.westminster.ac.uk/study
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
the development of the conceptual framework for risk assessment, stakeholder engagement, and the creation and maintenance of the open data repository: covering data debugging, metadata preparation, and
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areas or industrial domains. These possibilities, together with the development of non-water-cooled reactors require the development of tools to assess the radiological impact assessment for SMRs in both
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about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for environmental monitoring Mathematical statistics Description
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical