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Demonstrated ability to conduct independent research and publish in a peer-reviewed journal. Responsibilities: Lead independent and collaborative research projects Design and execute in vitro and in vivo
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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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, single-cell mRNA transcriptomics, and quantitative/functional antibody assays in human and animal models. Responsibilities The postdoctoral associate will – based on their research interest: Design and
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Correction Circuits Design of parametric processes and quantum control of driven non-linear quantum devices Quantum computer architecture, hardware- and noise-aware compilers Computation with Dynamic Circuits
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experimental design is expected. Experience with neurobiology, systems neuroscience, human pluripotent stem cells, neural differentiation, brain organoids, functional neural activity assays, or computational
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single-cell genomics. Responsibilities: Design and run lineage-tracing and tumor-initiation experiments in genetically engineered mouse models of lung injury and adenocarcinoma Generate and help analyze
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-world clinical impact. Overview of Appointment: This position offers immersive, high-level training in interdisciplinary cancer research designed to prepare postdoctoral fellows for scientific
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questions, rigorous experiments, and the chance to help define an emerging area of the field. Education and Career Development The position is designed to support the development of an independent research
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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and
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-seq, and flow / spectral cytometry. The ideal candidate will be: Scientifically ambitious, creative, and rigorous Able to design and execute complex experiments independently Excited to work across