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focus on non-local boundary layer turbulence and shallow clouds. This full-time appointment is available immediately. It is initially for one year, with the possibility of renewal for up to three years
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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international level, to address the UM6P challenges in terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine
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interface is required. Experience with one or more of the following is desired: large-scale genomic analyses, variant calling, cloud computing, machine learning methods, and or statistical genetics. Job
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education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating
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Familiarity with LiDAR data processing, especially GEDI Knowledge of fire ecology and land use change processes Experience with Google Earth Engine or other cloud-based geospatial platforms Experience with
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of such data includes special categories of data referred to in Article 9(1) of RODO, which reads: "I consent to the processing of my personal data by IFJ PAN included in my CV and attached documents." - A list
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-reviewed dissemination of research results • Collaborate with developers constructing a cloud-based infrastructure to support the development, testing and deployment of Cliste Application
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-domain fusion cloud service platforms to support disaster prevention, flight risk warnings, and more in Southwest China, generating significant economic and social benefits. Relying on the Ministry of
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complex information to specialists and within the wider academic community. 6. Experience in 5G, 6G, cloud computing, aerospace, or smart grid. Skills 7. Experience in software/hardware programme