936 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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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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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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Learning, AI-driven Scientific Discovery & Lab Automation, ML-driven molecular simulations, and beyond. We will support our Starting Principal Investigators with access to appropriate compute infrastructure
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testing. Experience of working with genomic data at a population scale, including the tools and technologies to manage sophisticated analyses. Experience of statistical and/or machine learning methods
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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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should have a graduate degree (Master 2 degree). Him/her scholar background should include: • statistical/machine learning, statistical inference, clustering, classification • deep learning, variational
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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
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(overseas). https://www.nsfc.gov.cn/publish/portal0/tab948/info91706.htm Remuneration and Welfare Guarantee Successful applicants of the Excellent Young Scientists Fund (overseas) may apply for tenured and