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facilities. This role will be central to building and integrating our core facility expertise in spatial technologies to generate combined spatial omic methodologies. These include transcriptomics, proteomics
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metabolomics, proteomics, and/or the integration of complex, multimodal datasets. We particularly encourage applications from scientists developing novel statistical, machine learning, or artificial intelligence
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facility Proteomics and metabolomics mass spectrometry cores A comprehensive biophysics core facility All major instrumentation is located in the same building. Key Responsibilities: Our group uses
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-driven hypotheses into experimental designs. Plan, execute, and oversee experiments across multiple modalities (e.g. proteomics, biochemistry, biophysics, metabolomics, imaging). Design efficient
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Dortmund, we invite applications for the Research Group Proteomics: PhD Candidate (m/f/d) in Phosphoproteomics You will be responsible for Planning and performing proteome and phosphoproteome analyses as
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studies to better understand the underlying pathophysiologic mechanisms that drive long-term outcomes in critically ill hospitalized patients. Website: https://scirc.med.ufl.edu/ UF Surgery Genomics Core
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neuropathologists, neurologists, and neuroscientists, the candidate will help design and implement analyses of high dimensional data (e.g., [single-cell] RNA sequencing, genotype or WGS data, proteomics, digital
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, particularly in the context of substance use disorders and neurodegeneration. We utilize cutting-edge proteomic, metabolomic and genomic approaches, including on the single cell level, to understand how
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
core laboratories for research computing, macromolecular structure and interactions, sequencing, proteomics, metabolomics, animal models, functional genomics, quantitative imaging, as well as others