899 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers
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to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together
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funding and lead research projects, conduct innovative data-driven research in life sciences using computational modelling, machine learning and advanced analytics, publish in high-impact international
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has a passion for continuing to push the boundaries of our understanding. Candidates who demonstrate responsibility, initiative, and a strong drive to learn and succeed in a collaborative environment
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of core algorithms for image processing and computer vision based on deep learning and traditional algorithms; including but not limited to image recognition, detection, segmentation, generation
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of cutting-edge tools, models, and strategies to understand and engineer immune systems for translational medicine. Candidates may use integrative approaches that combine immunogenomics, machine learning
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team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our
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. Responsibilities include: Managing and mentoring a multidisciplinary team of machine learning and image analysis experts Coordinating DCU activities across partner sites and aligning them with HI strategy Co
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) Recruitment System ( https://facrecruit.hkust-gz.edu.cn/ ). You should first sign up to create your personal account. For more information, please visit the recruitment website ( https://www.hkust-gz.edu.cn
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connecting AI, computational biology, human–computer interaction, and research software engineering. Close collaboration with the Helmholtz AI Consultant Team, providing direct exposure to a broad range of
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attention to detail. This entry-level role is ideal for someone with prior undergraduate lab experience who is eager to learn and develop technical skills. The successful candidate will have some lab