101 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" Postdoctoral positions at Nature Careers in United States
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; collaborate with senior staff members from diverse background (biologists, structural biologists and medicinal chemists). Former Chen Lab postdocs have landed jobs as Assistant Professors in Universities
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provides unique career development opportunities for the postdoc trainees. Multiple former postdoc trainees have become Tenure Track Assistant Professors and/or Independent PIs in USA and other country
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photonic integrated circuits, optical metasurfaces, optomechanics, micro and nano electromechanical systems, and associated precision measurement, quantum information and future computing applications
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of synaptic neural circuit function Molecular, genetic and viral tools For more information about our research, visit our lab website: https://www.med.upenn.edu/fuccillolab/
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omics data, or cancer biology is preferred. Strong communication and teamwork skills are essential. Einstein offers a highly collaborative environment with access to state-of-the-art core facilities
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initiation and progression. This work has recently expanded to include investigations into how metabolism and autophagy influence the biology of embryonic and cancer stem cells. For more information about our
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The Postdoctoral Research Associate in the Department of Imaging Sciences conducts advanced research in biomedical imaging and related technologies to support the department's mission of advancing
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development of trainees. The lab supports a healthy work/life balance and diversity with a focus on career development. Four former postdocs are now tenure track Assistant Professors at academic institutions
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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participating in the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will