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methods to biological and clinical research datasets. Primary responsibilities include analyzing bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics data; developing and maintaining reproducible
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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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the causal circuits driving the development and the functional specialisation of the largest macrophage population in the body: the liver-resident Kupffer cells. You will next develop Spatial CRISPR screens in
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laboratory analyses, and the application of tools for statistical modelling and spatial analysis using R and QGIS. The feasibility of execution relies on the existence of an already established database and
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, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics. The Postdoctoral fellowships are affiliated with CREATE’s
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the supervision of Alex Huk, Ph.D. Specifically, the incumbent will be researching cortical mechanisms of spatial vision. The appointee will be responsible for supervising and mentoring trainees, contributing
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with 1000× increase in time resolution and 10× improvement in spatial resolution over prototypes. Such an instrument enables to measure the structure of heterogeneous systems including ageing concrete
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Classification Title: Postdoctoral Associate - Vascular Surgery Classification Minimum Requirements: For methodology A PhD degree in (Bio)Statistics, (Bio)informatics, Computer Science, Mathematics