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distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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in social sciences required. Experience working with families is also required. Excellent organizational and interpersonal skills, computer literacy, and strong written and verbal communication skills
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in social sciences required. Experience working with families is also required. Excellent organizational and interpersonal skills, computer literacy, and strong written and verbal communication skills
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing
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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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: Computer Science or Computer Engineering; • PhD: Computer Science or related fields within the last 7 years; • Knowledge of: Python, DL, CV, Transformers, LLMs, NLP; • Relevant scientific publications; • English