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. Understanding and quantifying large repositories of data is key to making security effective in practice, and expertise in this area is a prerequisite, as is expertise in the design of such data analysis using
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sciences increases with new mobile and stationary sensors and observation platforms becoming available, the need for processing these large data streams also increases. Such datasets provide exciting new
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experience with proteomic or lipidomic analysis is required. Experience with data-analysis with R is required; You are highly motivated, creative and willing to work with human blood samples and large -omics
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We offer We offer a Principal Investigator position where you will lead your innovative, technology-focused research line, expand the department's computational core, and drive large-scale, data
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is highly desirable: big data analytics quantitative genetics variance component estimation working with Linux and HPC systems For this position your command of the English language is expected to be
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of the future, including: the use of faster processors being pushed by CubeSat technology; new requirements for cybers ecurity driven by actual threats; ever-higher data streams and volumes downlinked from
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and advancing large-scale, data-driven research projects, in a collaborative environment that fosters team science. We particularly value candidates who can collaborate effectively within diverse
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of magnitude on scales of kilometers and days. In this large project funded by an NWO Vici grant, our team will develop a new numerical tool to understand this variation and predict the amount of macroplastic
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of the Department’s workforce. You will encourage the flow of information, proactively coordinate with the Directorate’s other departments, and foster a culture of excellence, accountability and continuous improvement
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for geospatial information with a view to establishing longer-term adoption and acceptance and EO-based information in large-scale operations; Together with the key partners and end-user communities