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Field
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combinations of structural and functional properties, using both simulations for machine learning and experimental validation. Fabrication tools and methods are already established in our laboratory. Key
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of Artificial Intelligence (30%); iii) knowledge of advanced methods for machine learning, such as online or reinforcement learning (20%). Applicants whose application is scored with a final classification of
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computing and services, internet-of-things, business process modelling, AI, machine learning, collaborative systems, and security spanning domains such as healthcare services, marine environments, robotics
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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Fellow will work primarily on an NSF-funded project related to studying how well AI models understand human emotions. The scope includes questions like: how do machines reason about human emotions in
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CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable Expertise in advanced data analysis techniques (Machine learning and Deep learning
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sustainability. The School is a leading European business school with a strong global presence by 2027 and has 200 plus academic and teaching staff. In addition, 13 funded research centres (https://www.dur.ac.uk
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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processes of the study systems of our collaborators. Core components of the research involve, among others, Bayesian hierarchical modelling, shrinkage methods, machine learning (ML) or dimension reduction
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estimation to begin in Spring/Summer 2026. The successful applicant will develop and implement data-driven tools, underpinned by scientific machine learning and reduced-order modeling, for ocean state