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Qualifications: The successful candidate must hold a PhD in Computer Science, Artificial Intelligence, or a closely related field, and demonstrate a strong background in computer vision and machine learning
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of Science, University of Southern Denmark (SDU), Odense. We seek a candidate with strong, documented expertise in computational drug design / computer-aided drug discovery. Preferred competencies include
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background in theoretical physics and machine learning, and have completed or be in the final stages of a PhD in this or a related discipline. Main duties and responsibilities Design and analyse hybrid quantum
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modalities in the shaping task, to investigate multi-robot and human-robot applications. Funding category: Financement public/privé ANR Mandolin project PHD Country: France Where to apply Website https
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, interdisciplinary initiatives, and industry partnerships at national, European, and international levels. Qualifications: PhD in Mechanical, Electrical, Computer, Civil and Environmental Engineering, or a closely
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responsibilities? No Preferred Education/Experience Bachelor’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering, Mathematics, or related field (Master’s or PhD preferred). 7+ years
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all imaging modalities. You will work closely with the Insigneo Institute for in silico Medicine and the Centre for Machine Intelligence, leveraging Sheffield’s unique imaging infrastructure including
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/Planning Internal Number: 7075289 Part Time Lecturer - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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We are researching testing and validation procedures for new high efficiency electrical machines for future aircraft power generation systems in collaboration with Safran Electrical & Power UK and
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Foundation-model-guided world models and predictive control for autonomous remote handling in extreme environments The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project