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Field
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Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas: Statistical programming and data analysis using R, Python, or Matlab
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such as deep and statistical learning. Experience of executing research projects at the level of senior PhD student, including creating and debugging machine learning algorithem. Excellent communication
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well as collaborative work on the high-resolution structure of the podocyte slit diaphragm. The Oxford Kidney Pathology (Bull) Group have an interest in structurally informed analysis of kidney spatial transcriptomics
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modelling and spatial ecology project focused on urban Singapore. Key Responsibilities: The Research Fellow will develop species distribution models, multi-species occupancy models, biodiversity indicators
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Department of Spatial Economics The Econometrics and Data Science department aims at pushing the academic frontier in methodology development for quantitative, statistical modeling of data, ranging
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: A PhD in bioinformatics, computational biology, data science or related field. Experience analyzing the following platforms: Single-cell/nucleus RNA-seq, spatial transcriptomics, RNA-seq, ATAC-seq
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experience in the scientific area of this international selection tender of at least 5 years. b) other requirements that the jury considers relevant within this international selection tender: A PhD in
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pathology, and statistics in various fields of anatomic pathology. Dr. Levy’s work has resulted in the development of several computational methods, including tools that measure spatial molecular variations
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about the position The successful applicant will join Julien Resseguier’s “Spatial Immunology & Nanomedicines” group and become a key member of the Comparative Immunology team at the Department
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/DPhil with a significant computational and/or statistical element together with expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics, and single-cell