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Field
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well as steel fibre reinforced concrete (SFRC), covering materials development, mix design optimisation, and performance evaluation. Perform advanced materials characterisation and microstructural analysis
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model; (iii) database preparation; (iv) empirical analysis, including econometric estimation, structural model calibration, and simulations; and (v) preparation of the study manuscript in co-authorship
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required, along with experience in asymptotic analysis. The appointment is for one year, and, subject to successful performance, renewable for up to two more years. Application Instructions Applications
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: Biochemistry Microbiome ecology Metabolic modelling Python and/or R Microbiome bioinformatics Longitudinal or temporal data analysis Microbial ecology and community dynamics This profile would suit someone with
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. Basic Qualifications: A Ph.D. in Psychology or a related field (e.g. Cognitive Science, Linguistics) Demonstrated record of research achievement and experience in the collection and analysis of child
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in human genetics and large-scale omics data analysis (e.g. GWAS/QTL mapping, fine-mapping, integrative genomics) Strong programming skills Publication record, including first-author publications, and
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human neurological, psychiatric and ophthalmological disorders. A postdoctoral research fellow position is available in the laboratory of Dr. Jun Nishiyama (https://www.duke-nus.edu.sg/directory/detail
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(https://www.mechano-medicine-lab.com/ ) decodes and engineers the fundamental feedback mechanisms driving vascular tissue function in health and disease, with the goal of translating these discoveries
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political, social and economic developments in Africa, Asia, Latin America and the Middle East, and links this knowledge to questions of global significance. It combines region-specific analysis with
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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to