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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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will represent a gradient of Ne. In addition to standard bioinformatics work the project encompasses analysis of demographic history and Ne, estimation of inbreeding and genetic load, and eco
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. Minimum Education and/or Training: A Ph.D. in computational chemistry, structural biology, bioinformatics, computer science, pharmaceutical sciences, or a closely related field. Candidates with significant
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. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics
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in genomics/epigenetics/stem cell biology; experience with tissue culture and NGS/CRISPR • Facilities: Advanced genomics, bioinformatics, imaging, and flow cytometry, plus collaborations across
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
shared resources, including the following: An integrated support structure for brain organoids In vivo and ex vivo cellular imaging platforms Bioinformatics support Production of genetically engineered
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in a dry lab setting and will involve analyzing newly generated and publicly available genomic datasets. We will use both in-house and published bioinformatic tools, including phylogenetics and methods
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linked bioinformatics analysis Collaborate with international partners to achieve research goals Prepare manuscripts for publication in peer-reviewed journals Present research findings at national and
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specialized departmental shared resources, including an integrated support structure for rodent behavior testing, brain organoids, in vivo and ex vivo cellular imaging, bioinformatics, production of genetically
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics