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models. Working with conventional laboratory reagents, instrumentation, and molecular/tissue biology techniques. Operating and generating data utilizing advanced instrumentation/techniques, flow cytometry
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modalities, enabling spectral properties, elemental distributions, and quantitative morphological characteristics to be studied within the same specimens. Using seaweed as a case study, you will investigate
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or improve databases and analytical infrastructure supporting genomic surveillance; Explore distributed data-processing technologies, including Apache Hadoop or related platforms; Build dashboards and
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Experiences. ND conducts research in networks and distributed systems of all scales, multimedia and AR/VR/XR systems, robotics and machine learning, advancing general and fundamental scientific knowledge driven
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Detail Information Position Summary The Grant Lab at the University at Buffalo is seeking a highly skilled Postdoctoral Fellowto lead the computational development of a novel generative AI framework
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in peer-reviewed publications related to the focus of the research activities assigned; and performing other job-related duties as assigned. Supervision Received General direction from the assigned
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), photovoltaic generations (PV) in view of the advanced utility grid operations, ancillary services, and the potential future changes in distribution network. Familiar with Grid codes and standards IEEE 2030, IEEE
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teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be
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appointment. If a 4th year is granted, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus
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necessary have a more critical look at how HPC should be used in this context. The general research question is: “How can HPC fur-ther enhance AI/ML, and vice versa?” Working closely with the staff