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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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for the computer simulation of electronically excited processes in molecules and materials. In the age of net-zero it is more important than ever to obtain a deep, molecular-level understanding of the working
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channel. This will be followed by designing a new resilient waveform for UOWC and developing a computer-based simulation to evaluate its performance. Finally, the study will use existing UOWC channel
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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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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: This is part of your personality: Above-average MA in
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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candidates will be required to fund the difference between the home fees and international fees. Overview Are you interested in developing Brain-Computer Interface technologies to control brain stimulation in
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employment policies. For further information on the WIRe scheme visit the web site at: https://cdtwire.com/ The project based at The University of Sheffield will be supervised by academics at Sheffield and