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has awarded the Ennis group a research grant to investigate the formation and structure of mixed clathrate hydrate minerals relevant to Titan’s surface; including the study of possible astrochemical
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infrastructure development. Familiarity with electricity markets and power system modeling, including ERCOT market structure and data, is desirable but not required. Experience applying machine learning or AI and
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and detector structures, including thin-film deposition, lithography, etching, wafer- or chip-scale process flow optimization, and materials/device characterization. The Research Fellow will also
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About the Programme The Trans-Asian Material Histories of Architecture and Conservation programme examines how building materials, craft practices, construction techniques, contractors, commercial
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insurance, supported by INESC TEC. 2. OBJECTIVES: • Research novel deep learning models for anatomically structured EGGIM estimation.; • Develop methods for image-level and examination-level reliability
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in chemistry/physical chemistry available at Department of Chemistry. The fellowship period is three years. A fourth year may be considered, and it will involve 25% of other career-promoting work
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biosynthetic enzymes, and collaboration with structural biology and computational teams. The Research Fellow will also be expected to contribute to manuscript preparation, dissemination of research findings, and
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operations — sampling frame construction, randomisation, intervention design, partner set-up and the main payment rounds — will be complete. The role is therefore primarily focused on the analysis
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Equality Duty (PSED). Other relevant criteria from our equality and diversity knowledge, skills and experience document . Familiarity with T cell and B cell receptor sequence and structure Familiarity with
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Metabolism, Immunology, Drug Discovery and Development, and Structural Biology, with a particular emphasis on RNA epigenetics/epitranscriptomics (RNA modifications) and RNA-based therapeutics. A major focus of