Conduct independent research under the joint mentorship of Drs. Geiger-Schuller and Corrada-Bravo; Develop and apply novel ML methods for interpretable representation learning of multi-modal data (including spatial transcriptomics and imaging) to assist the design and interpretation of in-vivo perturbation screens with spatial readouts; Collaborate with colleagues in neuroscience on the design and analysis of perturbation studies based on the application of methods developed in this project; Publish high-quality papers reporting on methodological and biological advances resulting from this work
Requirements:
Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field required; Demonstrated ability to design, implement, and apply modern ML methods for the analysis of high-throughput genomics data in general (e.g., spatial transcriptomics, scRNA-seq, RNA-seq, scATAC-seq, ATAC-seq, CITE-seq, etc.) required; Expertise implementing ML methods using appropriate technologies (e.g, PyTorch, JAX) required
Text:
Postdoctoral Fellow - AI/ML for Single Cell and Spatial Genomics Conduct independent research under the joint mentorship of Drs. Geiger-Schuller and Corrada-Bravo; Develop and apply novel ML methods for interpretable representation learning of multi-modal data (including spatial transcriptomics and imaging) to assist the design and interpretation of in-vivo perturbation screens with spatial readouts; Collaborate with colleagues in neuroscience on the design and analysis of perturbation studies based on the application of methods developed in this project; Publish high-quality papers reporting on methodological and biological advances resulting from this work Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field required; Demonstrated ability to design, implement, and apply modern ML methods for the analysis of high-throughput genomics data in general (e.g., spatial transcriptomics, scRNA-seq, RNA-seq, scATAC-seq, ATAC-seq, CITE-seq, etc.) required; Expertise implementing ML methods using appropriate technologies (e.g, PyTorch, JAX) required
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