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Field
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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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proposals or equivalent, with support from the faculty, to launch their independent scientific careers Skills & Qualifications • Recently completed a PhD in a related field. If PhD award is pending, letter
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hypotheses as appropriate, and contributing ideas for new research projects. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant scientific discipline such as molecular biology
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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in
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biology, vascular biology, and/or bioinformatics, supported by a solid publication record. We highly value prior experience in one or more of the following areas: 1) iPSC differentiation and organoid
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facilities in imaging, immunology, tissue engineering, and bioinformatics. Qualifications We seek applicants with the following qualifications: Essential: PhD in molecular biology, immunology, biochemistry
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to mentor graduate and undergraduate students within Dr. Donneyong’s research lab. Required Qualifications: A doctoral degree (PhD, ScD) in Pharmacoepidemiology, Epidemiology, Health Economics, Health
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. Requirements: PhD in Ecology, Evolution, Bioinformatics or related areas Previous research experience in phylogenetic comparative methods Excellent skills in R programming Excellent writing and communication
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addressed in the project are outlined in Ryczko, Simon, Ijspeert, 2020, Trends in Neurosciences and references within. Entry requirements We are seeking an ambitious fellow with PhD and with a background in
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have