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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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project operations, manage the research team, oversee data collection and analysis pipelines, and contribute to research outputs, under the supervision of the Principal Investigator, and in close
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Responsibilities: Develop chemical and biochemical assays and analyses, conduct comprehensive laboratory experiments, data analysis and reporting. Design, develop, and test microfluidic devices for miniaturised
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-related issues in organizational strategic decision processes. This role integrates behavioral research approaches, field studies, and data analysis to generate high-quality academic research outputs and
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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& Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities
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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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candidate will contribute a broad, multi-proxy palaeoecological skillset to the project. They will carry out field sampling and laboratory analysis of peat and soil sequences from case-study landscapes across
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17 Apr 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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review and study set-up through to data collection, analysis and dissemination. The role offers substantial hands-on experience of mixed-methods research on sensitive topics, within a supportive and