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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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, evaluating graphite-based composites and coated metallic substrates (titanium alloys, stainless steel, nickel-based alloys) for corrosion resistance, electrical conductivity, and mechanical strength in
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, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct experimental work, including but not limited to: i. Material and component testing ii. Structural
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conducting high-quality research presented at international venues, and has broad scientific expertise including empirical software engineering, model- based software engineering, and formal methods
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anisotropy for rotating magnetocaloric effect. The aim is to optimize the magnetocrystalline anisotropy on magnetocaloric single crystal-based particles composites to maximize the rotating magnetocaloric
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and/or conduct physiological data collection including appetite ratings, dietary intake assessments, and metabolic testing (e.g., indirect calorimetry, body composition, blood/biological sample
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of these ingredients, improving their texture and flavor properties, as well as their nutritional value. • Processing and interpretation of experimental results using statistical tools and predictive modeling approaches
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ranges from physics, chemistry, microbiology and mathematical modelling to social science, geography, economics and policy analysis. Both basic and applied research is conducted related to some of the
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investigate dynamic phenomena and processes in the Martian atmosphere, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will
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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating