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for outstanding candidates for computational postdoctoral positions broadly interested in using machine learning, computational neuroscience and computational biology. The position is open under specific projects
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in genomics, genetics or molecular biology, but other background will also be considered. Interested candidates should fill the online application and can also email their CV, cover letter and contact
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, epigenetics, biochemistry, genomics, and data integration is a plus. Working as a team player in a highly dynamic environment is essential. To find out more about the Mills Lab, please visit
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autoimmunity triggered by cancer. We employ a multidisciplinary approach, integrating structural biology, high-resolution imaging, and electrophysiology. While expertise in cryo-electron tomography (cryo-ET
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to advances in various biomedical research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program. We believe that science is for
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discovery and chemical biology. Our lab is working to understand the molecular mechanisms leading to efficient elicitation of tumor vulnerability for potent cancer targeting. We develop Targeted Protein
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the use of MPRAs, a technology that Dr. Kinney and his lab have pioneered and continue to advance. They also develop machine learning approaches, including deep learning strategies, for extracting
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or be nearing completion of a PhD degree in STEM (science, technology, engineering, or mathematics) and have research experience in neuroscience or relevant fields of biology and bioengineering. We
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Position Description A position is available for a postdoctoral researcher with a strong background in cancer biology and immunology. This postdoctoral fellow will work under the direction of Dr
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, for which the lab has recently obtained funding. Our group studies how the immune system shapes tumor evolution during initiation, malignant transformation, and metastasis. We aim to understand how