453 evolution-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" Postdoctoral positions in United States
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to cancer. The lab also has strong interests in developing novel (i.e. new classes of) therapeutic modalities to address the evolution of resistance. The Weinberger lab employs a variety of molecular
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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seminars. (15%) Engaging with partners and possible funders. Participate in career and professional development opportunities. (10%) Engage in ongoing academic and intellectual life at the Cornell Lab
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options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more! Positions approved to work outside the State
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that fosters professional growth, personal development, and a strong sense of community. With a commitment to diversity, equity, and inclusion, we value the unique perspectives and experiences of our
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involved in the hedgehog signaling pathway, the extracellular matrix, and cellular differentiation in the context of skin and hair follicle development, aging, and skin cancers. Both in vitro and genetically
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Sciences | Astronomy Post Doctoral Scholar to work with Professor Scott Gaudi in the Department of Astronomy on the development and planning of several surveys enabled by NASA's Nancy Grace Roman Space
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multidisciplinary team tackling critical issues in cancer detection and provide support in the applied nanotechnology lab to assist in the development and execution of research projects related to the production and
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publication. The duties include proposal preparation, editorial work, presentation of results, outreach and career development. The group has a focus on studies of high gluon density as well as photon-photon
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multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications. 2. Model Development and