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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in
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Requirements A PhD in computer science, artificial intelligence, human–computer interaction, computational social science, digital humanities, cognitive science, or a related field; Experience with
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will need to meet the minimum entry requirements for our PhD programme. You will have a strong interest in audio and demonstrate a high level of academic achievement in relevant subject areas and a clear
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to team-based teaching and course coordination Demonstrable skills in computer languages, specifically R or Python, is preferred Experience with teaching large and diverse student cohorts is an advantage
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seek outstanding candidates from ALL areas of Artificial Intelligence and Machine Learning as represented within HDSI's research scope, including but not limited to: 1) Computer Vision 2) AI for Science
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skills, particularly proficiency in statistical data analysis software. Excellent written and spoken English. Strong communication and presentation skills, high professional standards, excellent
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 2 months ago
the departments of Applied Engineering Technology, Biology, Built Environment, Chemistry, Computer Systems Technology, Mathematics and Statistics, Physics, and the Ph.D. Program of Applied Science Technology. The
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent