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models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects
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and digital mental health assessment data to generate new digital tools To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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students and/or early career researchers experience with data science approaches to analyse clinical and digital mental health assessment data to generate new digital tools To keep our community safe, please
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operation, thermal management, high power prototype design and testing, etc. are preferred. • Knowledge of software such as PSIM, PLECS and MATLAB/Simulink • Prior knowledge and experience in digital
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filter design, high-switching frequency operation, thermal management, high power prototype design and testing, etc. are preferred. • Knowledge of software such as PSIM, PLECS and MATLAB/Simulink
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to keep the digital twin synchronized with the physical state in near real-time Connecting predictive ML models, computer vision systems, and simulations with visualization platforms to provide actionable
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achieve outstanding performances in recognizing objects in an image, inferring their relationships, and generating image descriptions in natural languages. They're ideal for tasks like image captioning
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palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden
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. This position will be part of the National Infrastructure for federated learNing in DigitAl health (NINA) initiative and will drive high-quality research in federated and multimodal learning, with a particular