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Field
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dynamic, optically unpredictable environments, dominated by waves, specular reflection, cloud-dependent illumination, and variable scattering. These factors significantly degrade sensor reliability, leading
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6th March 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Computer Architecture Focusing on Dependency-Aware Performance Analysis Apply
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distribution infrastructures, and heterogeneous networks and storage environments based on Cloud based services, CDNs and Edge Computing. This complex chain of delivery has negative implications
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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields
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with, cloud computing and virtualisation technologies Familiarity and hands-on experience with machine learning techniques desirable Desirable to have work experience (through internships or similar) in
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that enable modern smart applications ranging from Edge AI, fog/edge/cloud computing, reliable software and autonomous systems, to smart energy, smart infrastructure and industrial automation. With over 25
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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Computer science Engineering Chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 2 Mar 2026 - 22:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded
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and clinical MR systems fully dedicated to research, state-of-the-art local and scalable cloud-based compute infrastructure (CPU, GPU) and workshops for mechanical, electrical and electronic development
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a highly interconnected international network of academic and industry partners. The candidate will have full access to cutting-edge computational frameworks, cloud infrastructures, and state