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and good knowledge of opensource development practices; • solid understanding in at least one of the following areas: numerical methods, computational modeling, machine learning or continuum mechanics
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to candidates with knowledge of fluid mechanics and (ideally) computational fluid dynamics; experience in MATLAB or equivalent software will be considered an asset Academic degrees obtained in foreign countries
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Engineering Trades HUB/District Supervisor (HVAC) Welcome to Land, Buildings & Real Estate Land, Buildings & Real Estate (LBRE) is the operational core of Stanford University's physical campus. LBRE constructs
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research funding than any other U.S. public university and is one of the few universities in the U.S. with total research funding nearing two billion. That funding drives crucial, ground-breaking research
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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and to actively support the translation of the results into prospective clinical trials. In addition, the molecular and biological mechanisms underlying tumor radioresistance are to be investigated, and
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of computation and algorithms. In addition, members of the Department collaborate closely with faculty across the university including mathematics and statistics, computer engineering, mechanical engineering
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and interdisciplinary research environment. Details about the project: https://projekty.ncn.gov.pl/opisy/590787-en.pdf About the group: The Computational Genomics Group at IPC PAS is led by dr Marcin
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JOB FUNCTIONS TO INCLUDE: * Maintains grass and ground cover by mowing, weeding, planting and watering according to schedule and season, safely using professional-grade power and manual tools and