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. We are looking for highly motivated candidates with a strong academic background in computer science, AI/ML, bioinformatics, or related fields such as mathematics and statistics. Informal enquiries
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devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research encompasses
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. resilient infrastructure systems 2. value-based project and programme delivery of infrastructure assets. In this project we will closely collaborate with the Tilburg School of Economics and Management
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD
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identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. Qualifications Please reference
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University in the Centre for Digital and Design Engineering, part of the Manufacturing, Materials and Design theme. The Centre provides access to advanced simulation, visualisation, and high-performance
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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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independently managing multiple tasks while ensuring attention to detail, accuracy, and quality results Strong project management skills Experience developing study materials Ability to self-motivate and work