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Program teams to identify data needed to help them make key strategic decisions. Continuously improve internal processes with quantifiable data points. Contribute to collegewide data reporting and survey
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collected for various experiments and interpret to understand biology of plant-pathogen interactions Collaborate with other lab members on various projects to conduct computational analyses in parallel
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productivity while reducing external inputs. In parallel, the lab is expanding efforts to understand microbiome-associated phenotypes that contribute to drought tolerance and soil water retention. This includes
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.) Experience with big data tools (e.g., Hadoop, Spark, Kafka, etc.), data pipelines, and software development frameworks Experience with parallel programming (High Performance Computing experience is a plus) and
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their compilation tools in different environments. (C++, Fortran, ...) Experience with parallel computing, cloud deployment, and network license managers (FlexLM, RLM, etc.). Strong background in
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A tender is hereby opened
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Angers, Pays de la Loire | France | 3 months ago
the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will join the
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of the Department of Pathology didactive and laboratory educational activities for the University of Colorado School of Medicine and Physician Assistant program curricula. These educational activities include not
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: 282537712 Department Research Computing Category Information Technology Job Type Full-Time Overview Join Princeton's AI Lab and Research Software Engineering team as a Lead Research Software Engineer (RSE
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges