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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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spatiotemporal analytical approaches and software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch
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. Techniques we use include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience
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foresee pandemics and minimize their impact. The Center invites applications for a Postdoctoral Associate with expertise in machine learning and computational biology. This position focuses
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Job Description The Ye Lab is seeking a highly motivated Postdoctoral Associate to join our team and contribute to an NIH-funded project focused on understanding how glioma hijacks the tumor microenvironment to drive malignant progression. Our research lies at the intersection of glial biology...
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and the Bradley Department of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA. The position involves conducting experimental research in the broad scope of wireless communications
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interdisciplinary team at the NSF COMPASS Center, which integrates tissue engineering, stem cells, materials, virology, computational biology, machine learning, molecular environmental engineering, science
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Categories:Research / Scientific Job Description Dr. Shenglin Mei lab at the Fralin Biomedical Research Institute (FBRI) Cancer Research Center- DC is seeking highly motivated Computational Biology postdoctoral
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, Software Defined Radio (SDR), Software Defined Network (SDN), Network Function Virtualization and Edge-computing systems design. Researchers will carry out research in network systems, with focus on large
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or similar programming languages). A basic knowledges and deep interest in neuroscience are required. Preference will be given to candidates with experience in in vivo neurophysiology and/or computational data