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to optimize computational workloads, data movement, and parallel processing. Trains scientists on using the cluster effectively for AI workloads. Optimizes, deploys, and maintains robust software to support
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)function. Our approach develops methods to interpret high-performing deep learning models to distill knowledge that they learn from big, noisy biological sequence data. Our goal is to elucidate biological
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the Department of Quantitative Biology and Dr. Kenneth Chang’s Lab at the Functional Genomics Facility. The successful candidate will play a key role in conducting large-scale perturbation assays, including
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, therefore, experience in working with animal models of disease is required. Knowledge of computational analyses of large data sets is necessary for the work. Supplemental Information How to Apply: If you are
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. doi: 10.3389/fcell.2022.986261. Position Requirements Candidates must have (or soon receive) a PhD degree. Experience in mouse embryonic stem cell culturing and differentiation, genomic analysis
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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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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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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
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scientific programming skills (Python or MATLAB) are desirable. Previous neuroscience experience is preferred. This position is ideal for individuals planning to apply to PhD or MD programs within the next two
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of neural circuitry across rodent species to bridge this knowledge-gap. Position Requirements Candidates must hold a PhD degree (or equivalent) in neuroscience, biomedical engineering or a related field. The