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Field
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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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, cancer biology, neuroscience, molecular biology, bioengineering, computational biology, or a related discipline. Strong publication record demonstrating scientific productivity. Excellent written and
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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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, cellular, biochemical, and in vivo approaches. Perform cancer biology studies using cell lines, patient-derived models, and mouse models. Analyze and integrate molecular imaging, spatial transcriptomics, and
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drugs. Our focus is on cytokine-based drugs and immune checkpoint inhibitors. We use immune competent murine models and human cell culture systems for early drug development. We also study mechanisms
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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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encoded Ca²⁺ indicators, electrophysiology, molecular biology, optogenetics/chemogenetics, and transgenic mouse models to understand how cellular signaling networks coordinate normal gut motility and
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experience in animal models Research experience in genetic manipulation of Gram-negative bacteria Detailed subject knowledge in molecular microbiology and/or host-interactions Attention to detail and ability
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knowledge of small-animal cardiac surgery models, including TAC, MI, or related models of cardiac injury, remodeling, or heart failure. • Experience in molecular biology techniques including RT-PCR, western
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Biochemistry and Molecular Biology, University of Southern Denmark. The position is offered for a duration of 26 months and will be available from October 1, 2026, or as soon as possible thereafter. Project and