48 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" 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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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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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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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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@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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covering letter and submit to talent_acquisition@cancerinstitutewia.org (or) scan QR Code to apply Closing date: 30 April 2026
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related expenses are borne by the university. VI. How to Apply Young scholars from home and abroad are invited to submit their applications by March 15th by scanning the QR code below. The university will
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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