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plasma samples for isolation of extracellular vesicles and subsequent lipidomics and proteomics analysis. You will perform the targeted and untargeted lipidomics analysis in close collaboration with
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A Research Assistant position in Clinical Neuro-AI is available to work with Prof Zoe Kourtzi (Adaptive Brain Lab, University of Cambridge; https://www.abg.psychol.cam.ac.uk ) and Prof Eleni
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and work closely with core facilities and other research groups to access advanced techniques, including proteomics, RNA sequencing analysis, advanced microscopy, and genetic mouse models. The candidate
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backgrounds, and maintaining and troubleshooting mass spectrometry instrumentation. The candidate must demonstrate deep expertise in general proteomics, and extensive hands-on experience in processing diverse
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sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with
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the lab website (http://rosswang.weebly.com ). Qualifications: Candidates are expected to have a Ph.D. degree in Chemistry/Biology/Biochemistry/Chemical Biology with demonstrated experience in chemical
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Hirszfeld Institute of Immunology and Experimental Therapy Polish Academy of Sciences | Poland | 21 days ago
on ongoing research is available on the Laboratory's website https://hirszfeld.pl/struktura/laboratoria/laboratorium-biologii-moleku… , including publications by the team of Anna Zawilak-Pawlik, PhD (ORCID
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therapeutic decision-making. Position Overview The successful applicant will work closely with a collaborative team to: - Identify and validate molecular biomarkers (proteomic, genomic, cellular) that predict
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interacting with host proteins. This project will apply cell biological, genetic, proteomic, lipidomic, and microscopic approaches to understand how inclusion composition and interactions maintain inclusion
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 6 hours ago
in genomics, imaging, proteomics, and biostatistics, strong team-science collaborations across UT Health San Antonio and the Mays Cancer Center, and institutional support for pilot funding, grant