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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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for admission to the PhD programme of our faculty. In particular a GRE or GMAT result above the 75th percentile on the quantitative part and an English TOEFL (minimum score 575 paper-based, 233 computer-based, 90
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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
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of advanced applications for network benchmarking, road hazard warning, and pseudo-remote driving supported by computer vision, while also supporting the broader research and integration activities
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computational capabilities in Sweden. This PhD position is part of the DDLS research area Evolution and Biodiversity. Data-driven evolution and biodiversity concerns research that takes advantage of massive data
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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, tackling neurobiology's toughest challenges through innovative computational research. Join us, simplify the intricate, and make a real difference. This position emphasizes time-series analysis to advance
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coding skills in Python. You are strongly motivated to acquire advanced skills in Python and in the use of high-performance computer systems You have affinity and preferably experience with system dynamics
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methods for understanding biological form, function, and evolution. The project combines computer vision, machine learning, genomics, and biomechanics, and involves large-scale multimodal datasets including
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. International applicants would need to be able to fund the difference between home and overseas fees with a proportion being paid in full before Visa documentation can be issued. Applicants PhD applicants must