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supporting documentation, proven experience in all of the following areas: Computer vision and video processing (ingestion, ROI, 2D/3D keypoints, heatmaps); Deep learning and temporal modelling (CNNs
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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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time; human resources management; quality of life and well-being; b) Experience in analysing quantitative data (e.g. European databases, structural equation modelling) and qualitative data (interviews
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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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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