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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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the properties and reactivity of gas-phase ions present in natural environments (atmosphere of the Earth, other planets and their moons, space in stellar systems and interstellar gas clouds) and of ions created by
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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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systems and interstellar gas clouds) and of ions created by artificial ionization for various scientific and technological purposes. Mass spectrometry methods are chiefly used together with theoretical
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visualization techniques to analyze and track construction progress using diverse datasets, such as images, videos, and point clouds. Additionally, candidates will integrate immersive technologies, including
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at international conferences and communicate complex information to specialists and within the wider academic community. 6. Experience in 5G, 6G, cloud computing, aerospace, or smart grid. Skills 7
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; - use the TOOCAN Lagrangian tracking algorithm, applied to these model outputs, to analyze the evolution of cloud structures and balance terms during system development; - explore the extreme values