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should have research experience in mathematical biology, preferably using theoretical and numerical approaches to understand mechanisms in biological systems. The successful candidate will work under the
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techniques in interfacial science; and mathematical techniques and computer programming for data analysis. Considerable skill in working interactively and productively in a multidisciplinary environment Good
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development
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present findings at scientific and stakeholder events. Seek new funding to expand research scope and impact. Guide students in data analysis, troubleshooting, and writing. Qualifications: Ph.D. degree in
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support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
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for secondary data analysis, co-authorship on publications, and the chance to refine and expand related lines of research aligned with the scholar’s interests and professional goals. The candidate hired
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: We would like to recruit a postdoctoral fellow in cancer outcomes research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have
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%) • Curate multimodal real and synthetic datasets, including photogrammetry, LiDAR, and depth cameras, to build scalable analysis pipelines (10%) • Conduct data collection for validation of developed
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validate polarizable force field models. Responsibilities will include both macroscopic property analysis (e.g., density, diffusion coefficients, ion conductivity, interfacial tension) and atomistic-level
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data collection and scenario design. Techno-Economic & Environmental Analysis Compare material intralogistics handling alternatives (IPCC, trolley assist, battery trucks, etc.) via life-cycle cost and