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Field
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PhD in a relevant field (e.g. political science, statistics, computer science, informatics, economics, or related discipline) with a demonstrated focus on forecasting, statistical modelling, and/or
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of Computing The Department of Computing educates professionals for the modern digitalised society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent
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UNIFIED project interacting professionally with consortium members and stakeholders; be an active part of the Informatics Institute, in particular, Intelligent Data Engineering (INDElab) group, and their
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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6 Dec 2025 Job Information Organisation/Company AI4I Research Field Computer science Engineering Information science Researcher Profile Recognised Researcher (R2) Country Italy Application Deadline
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engineering; systems engineering and/or computer science); human-machine interaction (human factors engineering; computer science); other). PhD must be awarded no more than four years prior to the effective
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the project include collecting YouTube or social media data and digital news content, using manual and computational methods to analyze this content, and collaborating with the European project team on a cross
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by the school’s governing bodies. Eligibility criteria PhD in computer science Selection process Application requirements: ➢ Copy of identity document and diplomas ➢ Curriculum vitae ➢ Cover letter
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-Doctoral Researchers in Decarbonization, Carbon capture, utilization