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Field
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, FEDER and FCT, is available under the following conditions: OBJECTIVES | FUNCTIONS Cloud computing is currently in an impasse. While hardware efficiency is improving at an exponentially lower rate, the
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project deliverables are met. Derivation of closed-form theoretical latency and timeliness expressions for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency
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for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and
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TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the scientific field of DevOps Cloud Architectures, Infrastructure as Code (IaC) and on-demand, intelligent configuration of self
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measures against common threats like DDoS attacks, SQL injection, and cheating. Experience in multiplayer game services such as Azure PlayFab, AWS GameLift, Google Cloud Servers, and other similar services
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analysing of point cloud data mainly from airborne LiDAR (ALS) but potentially also from terrestrial and mobile sources (TLS & MLS). The goal of the project is to uncover the efficacy of using airborne LiDAR
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) and reproducible research practices Desirable criteria Experience working with generative models or large language models Experience with large scale GPU-based model training and cloud computing
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bioinformatics tools and libraries (e.g., Bioconductor, STAR, DESeq2, Seurat) and familiarity with cloud computing platforms and scalable computing infrastructures for large datasets. How to Apply: Interested
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., atmospheric correction), spectral unmixing, and variable retrieval, feature extraction. Experience working with cloud-based platforms and large-scale EO data workflows. Strong programming skills with experience
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– ‘“Seeing through clouds” satellite remote sensing by unifying optical and SAR sensors’. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five