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use an interdisciplinary approach combining the use of engineered substrates, of advanced microscopy and of proteomics techniques. This research will not only shed light on a fundamental aspect of
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The project aims to develop large-scale self-supervised models trained on rich, longitudinal health data, including: Medical records Lifestyle data Biological samples (genomics, transcriptomics, proteomics, etc
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Job Purpose We are seeking a dedicated Mass Spectrometry Proteomics Scientist to provide specialist scientific leadership in our proteomics platform development and validation projects. The position
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Website: https://yadlapallilab.org ? Publications: https://scholar.google.com/citations?user=otQ6T6gAAAAJ&hl=en Why Join Us? The Yadlapalli Lab offers a unique opportunity to conduct research
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related field. Strong background in yeast genetics and synthetic biology. Experience with bioreactors. Experience in the analysis of proteomic, genomic datasets (bioinformatic skills). Experience with
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& Metabolic Medicine & Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the
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, proteomics, long-read sequencing). Familiarity with machine learning approaches, particularly artificial neural networks, and their application to biological data. Experience with workflow management systems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
university to support outstanding research. We foster programs in the areas of basic, translational, mechanistic and population research. Position Summary Dr. Ming-Feng Hsueh’s lab at UNC-Chapel Hill (https
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, including genomic, transcriptomic and proteomic analyses, as well as in vitro and in vivo imaging modalities using state-of-the art animal models for cancer research. More information about the group can be
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-edge research infrastructure and facilities. Our excellent research facilities include genomics, proteomics, metabolomics, liquid-handing robotic platforms, high-performance computing, flow cytometry