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Field
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with: Experience with web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API
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under one unified vision. Interested? Please read on. BOLD Lab will pursue ambitious, high-risk research to advance the fundamental science of artificial intelligence and address some of the field's
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-performance computing, teaching experience or familiarity with experimental biophysics. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a
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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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Description We have an opening for a High Energy Density Science (HEDS) Center Postdoctoral Fellow . The purpose of this fellowship is to attract top HEDS talent to Lawrence Livermore National Laboratory (LLNL
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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