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effective therapeutic options. Position Requirements Education: PhD in Molecular Hematology, Molecular Biology, Cancer Research, or Cell Biology. Research experiences: Ideal candidates should have strong
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a relaxed and diverse atmosphere defined by constructive thought exchange. Opportunities to learn about model systems of disease, advanced microscopy, genetic engineering, new sequencing techniques
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working at the intersection of systems and computational neuroscience. We record, analyze, and model neural population activity in the visual cortex of mice, to understand the mechanisms underlying sensory
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. Position Responsibilities Develop and implement machine learning and deep learning models to analyze and interpret high-throughput functional genomics data, such as ChIP-seq, RNA-seq, and ATAC-seq
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completed PhD and postdoc training in biomedical sciences, preferably in cancer biology, stem cell biology, epigenetics, metabolism, microbiome and/or immunology. We are looking for an experienced and highly
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. • Harmonize data across multiple sources to ensure consistency and scalability for AI model training. • Collaborate with interdisciplinary teams to support diverse ML projects by preparing datasets and
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laboratory settings. Our lab, using this novel model system, seeks to pursue two complementary questions. First, how does the auditory system interact with the motor system to generate the sensorimotor loop
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Laboratory. The Tuveson Laboratory is interested in uncovering biological pathways and identifying novel therapeutic approaches for pancreatic cancer. To this end, we utilize both organoid and mouse models
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Laboratory is interested in uncovering biological pathways and identifying novel therapeutic approaches for pancreatic cancer. To this end, we utilize both organoid and mouse models of pancreatic cancer. We
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scientific discoveries. PhD candidates expecting to complete by 2024 are encouraged to apply. Candidates with expertise in organic synthesis, peptide/ natural product/macrocycle chemistry, or chemical biology