781 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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our mission One of the world's largest cancer survivorship research programs The first and only pediatric cancer center to be designated as a Comprehensive Cancer Center by the National Cancer Institute
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processing, and biostatistics. Faculty are encouraged to pursue both independent and collaborative projects that leverage the department's integration with research programs in Molecular Imaging, Oncology
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communication skills in English and motivation for independent scientific work WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year
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Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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plan complex experiments independently, and is enthusiastic about technology transfer into an academic start-up setting. Our offer Full-time position, available immediately Initially limited to two years
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machine learning for imaging, ideally in biomedical or histopathological contexts Strong programming skills and deep learning frameworks Familiarity with generative models (e.g., diffusion, GANs
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Netherlands. The training program will be detailed based on the profile and educational background of the PhD student recruited. PhD training will be framed by the mandatory Doctoral Education Agreement (DEA) between
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background in healthcare or biomedical data analysis Proficiency developing production-quality software in object-oriented programming with Python; experience developing small user interfaces (e.g. with Python
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such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree program