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projects in a broad area of quantitative proteomics, including plasma proteomics, glycoproteomics and PTM analysis. You will work in a collaborative environment within the BioMS group, liaising with the PIs
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Scholar will focus on experimental research in the field of laser diagnostics of nonequilibrium plasmas, for atmospheric reentry flow applications and for plasma-liquid interaction applications. The duties
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for a postdoctoral researcher to join an experimental plasma physics program focused on high-energy-density and laser–plasma science. The successful candidate will contribute to the design, execution, and
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. Extensive hands-on experience with analytical characterization of bioprocess samples, including high-performance liquid chromatography (HPLC), gas chromatography (GC), inductively coupled plasma optical
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Details of the role: Reports to: Michael Way – Group Leader Working pattern: This is a full-time fixed term position for 4 years on Crick Terms & Conditions of Employment Application closing date
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Inductively Coupled Plasma Mass Spectrometer (MC-ICP-MS) would be preferable. Experience Work requires minimum PhD in Environmental Geochemistry of 4-5 years with possible (but not required) postdoctoral
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://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning
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website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning and AI approaches. Integration
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
samples, including serum/plasma and whole blood, and work with databases containing clinical information. Key research techniques will include next-generation sequencing, droplet digital PCR, and Luminex
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the genetics of Alzheimer’s disease and related dementias. They will learn state-of-the-art strategies to integrate a breadth of ‘omics (proteomics, single cell, etc.) and biomarker data (derived from plasma