47 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" uni jobs at Nature Careers
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strong background in optimization and machine learning. Good coding skills in Python, PyTorch are welcomed. Application Applications should contain a CV, a motivation letter, the grade records of the last
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statement from your supervisor committing to support your finalization phase Compliance with the CoBeNe regulations for PhD candidates (agreement to the Code of Good Practice, FÖP within the first 2 semester
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ensuring best practices in scientific coding and workflow development are shared and adopted across projects. We are seeking a collaborative data scientist with strong experience in scientific programming in
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algorithms. Good coding skills in Python, PyTorch, together with a general interest in biology are welcomed. Application Applications should contain a CV, a motivation letter, and the names and contact
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communicate technically challenging and complex issues to non-technical team members. Significant experience (including code repositories or published works) in independent scientific analyses and/or image data
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covering letter and submit to talent_acquisition@cancerinstitutewia.org (or) scan QR Code to apply Closing date: 30 April 2026
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
. We are seeking to hire a Software Engineer who views code as a vehicle for medical discovery and is ready to architect the future of AI-driven clinical care. This is a role for a builder who thrives on
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@him.cas.cn , with the subject line formatted as: [Research Center] + [Position] + [Full Name] Scan the QR code to connect with us on WeChat for one-on-one consultation services.
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PDF document and include: (CV, letter of motivation, copy of graduation certificates (university) and two references) including the reference code “FB Toxi 01/26”until the 06.03.2026 preferably by mail
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adherence to regulatory, coding, and billing standards. Additionally, this role will support compliant net revenue realization while proactively identifying and mitigating revenue leakage across the clinical