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, natural language processing, and clinical symptoms. This is a salaried, academic position with focused training in large-scale neuroinformatics, including data flow and management, and neuroinformatics
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predict molecular subtypes and therapeutic responses. These tools power a precision oncology framework that enables data-driven treatment selection. In parallel, we generate patient-derived 3D
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non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar. Responsibilities
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organisms. Please note that we have a parallel search for computational neuroscientist faculty members at https://apply.interfolio.com/190740 . The successful candidates will be embedded in a richly
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-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning
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systems . The position focuses on developing integrated circuits and hardware systems that merge sensing, signal processing, and inference directly at the analog and RF interface . This approach enables
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research. We are equally committed to educating and mentoring the next generation of academic OB/GYN physician-scientists and leaders. Our division prioritizes diversity, equity, and inclusion (DEI
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diseases. This position is full time and located at the Medical School campus of Yale University in New Haven, CT. Education The role is designed to support the candidate’s future academic goals by
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assessments and interviews Collecting and processing biospecimens Navigating a fast-paced clinical environment Telephone-based outcomes data collection REDCap data entry and management GCP standards
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and unstructured data in the electronic health record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in