899 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers
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administrator, an accomplished scholar, a dedicated faculty mentor, a thoughtful colleague, and a true advocate for student learning and development. The dean will have the disposition to nurture and enhance
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, immersive learning environment, and interdisciplinary collaboration across the natural and social sciences, engineering, and policy. DUML fosters a close-knit, hands-on academic community and offers
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, convolutional and recurrent architectures, and transformer-based models, as applicable to biological, imaging, and multimodal data Hands-on experience with machine learning and deep learning frameworks (e.g
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peripherals). Experience supporting business teams around IT needs. Prefer experience with Windows, Apple, and Linux. Licensure, Registration and/or Certification Required by SJCRH Only: Certification in A
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Vineyard’s second area of focus (above) and will be central to the Department’s strategic focus on harnessing data science, machine learning, and AI to transform cancer research. The Division Chief will lead
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equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment. The University of Toronto has adopted the AAU Principles on Preventing Sexual Harassment in
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this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
space where you define the technical roadmap for computer vision and medical imaging breakthroughs. We are looking for a software engineer who is dissatisfied with the status quo and possesses
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Faculty Positions in Genomics and Bioinformatics at the Institute for Genome Sciences, University of
translational biomedical research. We especially encourage applicants with research programs focused on developing machine learning / AI methods for bioinformatics, subclone and mutational analysis, genome
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water matrices and case studies, while the AI4Science PhD will develop machine‑learning models that learn from and build upon these pNTA results. The successful candidate will be supervised by Prof. Dr