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Field
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Outer Membrane Vesicles (OMVs) from attenuated, genetically modified Salmonella strains; - Key activities involve applying reverse vaccinology pipelines (in silico epitope prediction and 3D molecular
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field. · Demonstrated experience with murine obesity models, immunology, and molecular biology techniques. · Strong analytical, organizational, and problem-solving skills. · Ability to work independently
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | 10 days ago
, translational, and clinical studies to uncover mechanisms linking inflammation, DNA damage, and stem cell aging to cancer initiation and progression. Using murine and humanized models, human patient samples
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offers the opportunity to work in a dynamic, multidisciplinary environment with access to state-of-the-art microbiological and molecular biology tools. Key Responsibilities Design and conduct research
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Lawrence Berkeley National Laboratory is hiring a Postdoctoral Researcher – Machine Learning for Materials Science within the Molecular Foundry division. Molecular Foundry is a Department of Energy
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selection campaigns, and analyse the resulting sequencing data to relate molecular features to measured properties. Your measurements will feed directly into the computational models developed in the group
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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will conduct advanced molecular biology procedures (DNA amplification, cloning, and sequencing), and produce
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execute bacterial perturbation experiments, develop scalable molecular biology workflows, and generate high-quality transcriptomic, physiological, proteomic, and metabolomic datasets. This position offers
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, scientific, and regulatory steps required to translate in vitro molecular hits into small animal preclinical evaluation models. Processing and integrating complex transcriptomic, proteomic, and image-based
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encoded Ca²⁺ indicators, electrophysiology, molecular biology, optogenetics/chemogenetics, and transgenic mouse models to understand how cellular signaling networks coordinate normal gut motility and