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include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks
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clinical trials, correlative tissue biomarker analysis, genomics studies. Skills or ability to apply computational approaches and implementation of bioinformatics methods is desired. Developing independence
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, biostatisticians, pathologists, data scientists, molecular biologists, and clinical researchers, all of whom contribute their unique expertise to our lab’s work. We employ a broad variety of analysis approaches and
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postembryonic development. We have devised a throughput approach for recording such changes in Drosophila and are evaluating a range of data analysis and modeling for data mining. POSITION DESCRIPTION Flatiron
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large scale flow network simulations, machine learning, and methods from topological data analysis, to a broad set of problems. Examples include modeling vertebrate and invertebrate circulatory systems
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, B cell repertoire analysis and immunohistology are key tasks along with cloning, expression and purification of proteins, cell culture, etc. Qualifications Highly-motivated candidates with a recent
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analysis of models Alignment and language model agents Other backgrounds that could inform language model interpretability and control, such as cognitive science, neuroscience, causal inference
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experience in high-throughput approaches. The core project of the postdoctoral fellow will be the functional characterization and analysis of genetic alterations in cancer in high-throughput. Research
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interactions to analysis of the effect of genetic background on the severity of genetic disorders. Some representative papers that capture the flavour of our work over the years include: • Quantifying
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helpful, as is comfort with multi-omics (scRNA-seq/spatial, proteomics/metabolomics) and analysis in R or Python. A translational mindset—thinking in terms of potency, QC, and GMP-relevant considerations