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, United States of America [map ] Subject Area: Computational harmonic analysis and machine learning Appl Deadline: none (posted 2024/10/14) Position Description: Apply Today is the last day you can apply for this position
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 hours ago
nanoparticles. The successful candidate will also learn cutting edge deep-sequencing approaches to evaluate off-target editing within the genome. They will have the opportunity to participate in meetings
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
focused on developing potent CAR Treg based therapies for neurological and hepatic disorders and assessing immune response to gene editing based therapeutics delivered as AAV or LNPs. Postdoctoral Associate
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud
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. QUALIFICATIONS: 1. PhD, MD/PhD, or MD degree. Training in medicine and organ-based immunobiology, digital imaging, image analysis, spatial genomics, and proteomics is an attractive attribute for the position
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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on
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specimens. Qualifications & Requirements Pursuing PhD degree in mechanical engineering, familiarity with metal 3D printing. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful
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, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates
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-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration