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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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EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance Department of Civil and Structural Engineering PhD Research Project
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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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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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-based Tensor Processing Units (TPUs) engine with massive on-chip global buffers for data-stationary. Systolic Array (SA) architectures with novel spatial dataflows will be utilized, at a large scale, for
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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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to use large datasets (‘big data’) and the collection of data to be used in economic evaluations. Funding notes The three year studentship covers UK home tuition fees only and a tax-free stipend
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pharmacodynamic data analysis. Project background The project's main objective is to extract and analyze large amounts of pharmacodynamic data from various sources and design a user-friendly database. Through