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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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participatory analytics that integrates climate and health data, intersectional multi-level analysis of vulnerabilities, and participatory action research. A central aim is to translate lived experiences
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in spatial-analysis, optimisation and economic analysis, as well as contribute to the UK’s hydrogen economy. How to Apply: Please see this link for information on how to apply: https
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R250140 Posting Link https://www.ubjobs.buffalo.edu/postings/59063 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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germ-free and conventional mice Perform high-dimensional data analysis (single-cell/spatial transcriptomics, genomics, metabolomics, immunoprofiling) and integrate findings with clinical datasets
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options include Climate Change, Mapping Environmental Issues, Environmental Spatial Analysis, Environmental Geographic Systems, Natural Science and Environmental Problems, Environmental Policy, Green Energy
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for (including our assessment rubric); details of financial support, training, and placement opportunities available; and details of our recruitment process, can be found at https://accedtp.ac.uk/, in
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mechanisms underlying human memory, spatial navigation, and cognition. The Staff Scientist will collect intracranial brain recordings from neurosurgical patients, analyze neural signals for oscillatory
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testing of breast milk for HIV nucleic acid; dissection of human placental tissue for isolation of primary cells, cytokine assays, and preparation for spatial transcriptomics; and development of 3D models
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alterations in host cell metabolism during lytic viral infection, with an emphasis in spatial metabolic signatures. Classical biochemical and molecular biology approaches as well as state of the art