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17 Apr 2024 Job Information Organisation/Company University of Galway Research Field Computer science » Programming Researcher Profile Recognised Researcher (R2) Country Ireland Application Deadline 1 May 2024 - 17:00 (Europe/Dublin) Type of Contract Temporary Job Status Full-time Hours Per...
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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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machine learning and modelling of complex datasets requiring integration. S/he will curate, clean and analyse all data, developing appropriate algorithms and pipelines. UCC is an accredited research
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semimetals, magnetic monopole fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and
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described as Wireless Sensor Networks (WSN), Cyber Physical Systems (CPS), or the Internet of Things (IoT). Most computer systems surrounding us in our daily life are no longer the traditional personal
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of the shallow regions, but in the absence of ground-truthing, must rely on computer algorithms to facilitate the task. Machine Learning and geomorphometry analysis can enable the categorisation of rock
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Technological University of the Shannon: Midlands Midwest | Athlone Springs, Connaught | Ireland | 11 days ago
addition to postdoctoral researchers and Faculty from Dept. of Computer & Software Engineering. We are an interdisciplinary research team regularly collaborating with domain experts from health, education, tourism, smart
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-state energies of layered multiferroic materials. Development of machine learning models to predict stable material compositions at much lower computational cost. Address the influence of strain and
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renewable generation into dairy farming, by combining it with recent technological developments in the energy sector. This project will investigate a range of topics relating to AI (deep learning
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Science. The Applied Mathematics department provides a vibrant and friendly research environment with interests including Machine Learning, Dynamical Systems, Network Dynamics, Agent-based Modelling, Scientific