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the project investigates the integration of new energy island/hub designs into European electricity grids and markets. The ideal candidate: The ideal candidate will hold a relevant PhD and will have significant
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designs into European electricity grids and markets. The ideal candidate: The ideal candidate will hold a relevant PhD and will have significant postdoctoral experience in the areas of energy flexibility
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density, and yield. Prepare and deposit 2DM inks using appropriate printing methods (e.g. liquid-liquid interfacial deposition, inkjet, aerosol jet). Characterise both nanosheets and networks using
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at Trinity College Dublin (TCD) seeks to appoint an outstanding, enthusiastic, and highly motivated Research Fellow who will contribute to a project that uses machine-learning methods to forecast
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diversity of projects, using quantitative, qualitative and mixed-method research approaches. It is envisaged that projects will include research on school policy and practice, further and higher education
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staff, as well as 28 PhD scholars. Population health scientists and researchers at RCSI have an impressive, multi-year track record undertaking impactful multi-disciplinary research and collaborating
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analysis to characterise the corona composition and will also quantify the biological stability over time. The candidate will also develop methods to isolate the NP-corona complexes without creating
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Health Services Research Education – national doctoral programme). It included some 100 academic, research and professional staff, as well as 38 PhD scholars. Population health scientists and researchers
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submitted by Recruitment Agencies will be returned. The PD1 position is intended for early stage researchers, either just after completion of a PhD or for someone entering a new area for the first time. If
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. Optimise nanosheet properties including aspect ratio, defect density, and yield. Prepare and deposit 2DM inks using appropriate printing methods (e.g. liquid-liquid interfacial deposition, inkjet, aerosol