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5th December 2025 Languages English English English PhD Research Fellow in statistical data analysis in epidemiology and genetic epidemiology Apply for this job See advertisement This is Western
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School, Singapore is looking for candidates with a PHD in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects
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spatiotemporal systems by combining physics-driven baselines with data-driven correctors. Formulate and solve inverse problems using Physics-Informed Neural Networks and relevant methodologies. Conduct rigorous
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the areas of immunology, microbiome, and diet. Basic Qualifications Candidates should hold a PhD in the relevant areas or be nearing their PhD defense date. Additional Qualifications The position requires
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or analysis tools · Proficiency in, or a strong interest in learning computational data analysis. Additional Qualifications Special Instructions Required documents: · CV · Research summary of PhD work · Cover
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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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-driven research. Lead and support multi-omics data analysis, including microbiome (16S, metagenomics, metatranscriptomics), bulk and single-cell/spatial transcriptomics, proteomics, metabolomics, and
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technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem-solving skills. Additional Qualifications
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar