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Field
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applying AI models and big data analytics to diverse data sources Good skills in scripting with Python Affinity with port-related applications, nautical traffic, and safety issues Ability to work in a
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particular, we look for candidates with: An MSc degree in Civil Engineering, Maritime Engineering, Transport and Infrastructure, or any other related field Expertise in applying AI models and big data
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and society. It will bring opportunities such as rapid computation of large, unsorted data sets, rapid training of AI models, higher capacity Lithium-ion batteries. With these profound opportunities
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orbital mechanics computer programming (in a compiled language such as C, C++, Fortran, or Julia) Experience in the following is advantageous: machine learning and/or artificial intelligence big data
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-performance numerical models and data analytics technologies to address some of the key practical challenges in flood modelling and risk management, and finally achieve a web-based platform for large-scale
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stable isotope labelling and flux analysis on some of the latest generation equipment. These methods generate large amounts of raw data, and methods to improve effective and efficient data extraction
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for Computer Systems] Integration of machine learning methods in computer systems software to improve the resource management of large data centers and cloud computing environments, with a focus on improving
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4 Jun 2024 Job Information Organisation/Company University of Twente (UT) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 30 Jun 2024
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to reconstruct statistically meaningful flow fields. Despite their popularity, both approaches still present major challenges such as large amounts of high-resolution data (from direct numerical simulations
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an independent PhD project aligned with the larger, multi-institutional Australian Search Experience 2.0 project within the ADM+S Centre. ASE 2.0 will generate large-scale observational data on the diversity