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sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information Science, or related
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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
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deadline The application deadline has not yet been determined. Please check our website (www.ec2-big-nse.de ). Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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of the whole institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM
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science » Autonomic computing Engineering » Maritime engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 18 Apr 2026 - 23:59
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applied statistics / data science courses such as Probability and Statistics for Computer Science, Basics of Statistical Computing, Probability and Statistics for Electrical & Computer Engineering
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. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 28 days ago
equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage According to profile Selection process Please send your CV and cover letter. Website
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Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering
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: Postdoc experience in molecular biology. Technical Knowledge or Skills: Knowledge of basic computer proficiency including computer programs and standard laboratory equipment. Knowledge of relevant