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Field
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, or QTL mapping. We prioritize methodological understanding over tool familiarity. Strong programming skills (R and/or Python) and comfort in a high-performance computing environment. Evidence of
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single-cell analysis toolkits, and experience working in high-performance computing (HPC) environments. Experience with flow cytometry and standard molecular and cell biology techniques (e.g., cell culture
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languages (e.g., Python, R, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data
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flexibility in hiring and promotion to attract and retain high-level talents and promote creativity. By building a collaborative science and innovation community in the Greater Bay Area, SZBL strives to
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employing statistical estimation techniques. Experience with high-performance computing. Experience with geospatial data processing and Geographic Information Systems (GIS) tools. Eligibility for immediate
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stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and high-performance computing infrastructure with GPU clusters for
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-Hydro, ATS , SWMM , HEC - HMS , and/or HEC - RAS . Experience with high-performance computing and Linux command line. Message to Applicants Central Michigan University is dedicated to fostering an
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | about 1 month ago
interdisciplinary research environment, state-of-the-art sequencing technologies, large-scale genomic and multi-omic datasets, high-performance computational resources, and extensive expertise in human
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, user tracking, gesture recognition, and high-resolution spatial mapping while simultaneously providing reliable wireless communications. Position You will conduct high quality research under the