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-enabled control planes and data processing for fibre sensing in optical networks. The work will focus on the development of methods for analysing fibre sensing signatures as well as methods to incorporate
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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
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postdoctoral experience in the areas of energy flexibility, grid digitalisation, data-driven modelling, and privacy-preserving methods, with a strong publication record. They will have experience of working in
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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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, grid digitalisation, data-driven modelling, and privacy-preserving methods, with a strong publication record. They will have experience of working in both national and international research projects and
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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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health services research Strong Qualitative or mixed methods experience Evidence of the ability to work independently and efficiently, including excellent oral and written communication skills. Excellent
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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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& Experience: Some experience and/or strong interest in wellbeing and positive psychology research. Familiarity with research methods in psychology and health sciences, including experience with either