21 multiple-sequence-alignment Postdoctoral positions at Stony Brook University in United States
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genomics, spatial metabolomics, single-cell sequencing, Optical/Photoacoustic imaging, seahorse, WB, RT-PCT, immunostaining and data analysis related to these assays. The experiments also include using cell
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laboratories The candidate will also have immediate access to brain PET data acquired from multiple universities, including Stony Brook. This includes large (>30 participants) datasets examining
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laboratories The candidate will also have immediate access to brain PET data acquired from multiple universities, including Stony Brook. This includes large (>30 participants) datasets examining
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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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. Candidates seeking to bridge multiple disciplines or bring AI into new scientific/applied domains are particularly encouraged to apply. We will process applications on an ongoing basis until all positions
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intelligence or machine learning from other fields. Candidates seeking to bridge multiple disciplines or bring AI into new scientific/applied domains are particularly encouraged to apply. We will process
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intelligence or machine learning from other fields. Candidates seeking to bridge multiple disciplines or bring AI into new scientific/applied domains are particularly encouraged to apply. We will process
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applicants may select from multiple projects and should have experience in most of the following areas: ● Background in cell/molecular biology. ● Experience with mouse models. ● Experience with