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information: https://tablon.upct.es/anuncio/ P6OGg 7 2Ok1 Deadline for submission of applications: 28 January. TITLE OF THE POSITION OFFERED: MOBILITY FLOW MEASUREMENT SYSTEM USING ARTIFICIAL INTELLIGENCE
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more faithfully simulate the application of high energy density laser sources to multi-component metallic substrates. Such a high-fidelity modelling framework, that captures the volumetric dilation
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threats affecting critical maritime operations in seaports and onboard vessels Designing and developing a prototype AI-based Maritime Security Operations Centre (SOC) Building a Digital Twin model of a
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successful delivery of key milestones. Key Responsibilities Lead the end-to-end design and development of core system components, including AI-based encoding/decoding modules, model integration pipelines, and
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functions to be developed are: Conducting in vitro and in vivo experiments with pancreatic cancer models within the parameters of the funded project. Collaboration in experimental design, as well as in data
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broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling
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, the Engineer will architect, engineer, and deploy AI pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models
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, furnace) - Nitrogen static mass spectrometry - Geochemical box modelling - Writing scientific papers A world-renowned geosciences organisation, the IPGP is associated with the CNRS and an integrated
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acoustic monitoring through research in dynamic noise mapping. You will develop real-time methods for road traffic noise assessment, including AI-based traffic classification and acoustic modeling of mixed
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models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration