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population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems Demonstrated proficiency in R
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(cs.uchicago.edu) is the hub of a large, diverse community of researchers focused on advancing the foundations of computing and driving its most advanced applications. The larger computer science community
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will design, develop, and optimize modern analytics capabilities that leverage enterprise data platforms, automation frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and
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18 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Engineering » Control engineering Engineering » Systems
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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the Materials Science and Engineering & Applied Physics Program. The position covers advances in scalable, large-area solar manufacturing technologies in support of energy transitions. The position prioritizes
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research questions. Strong quantitative research skills and proficiency in Python or R. Experience with large-scale textual data, natural language processing, machine learning, transformer-based models
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Best Large Employers , provides outstanding employee benefits and total rewards packages that include: Competitive health benefits (employee premiums covered at 100%, family premiums at 50%) Voluntary