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scheduling algorithms for federated and serverless computing, extending Python-based workflow and Function-as-a-Service (FaaS) frameworks, or building services that enhance the interoperability and performance
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Vision Center (CVC, https://www.cvc.uab.cat ) is a center with over 150 persons, working on machine learning and computer vision research for more than 30 years, placed at the Universitat Autònoma de
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. The MPOG team includes clinicians, quality improvement experts, software developers, statisticians, and administrators. For more information, please visit https://mpog.org/about/ Position Summary
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Head and Neck cancer patients. This person will be working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national
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provisioning, and cost monitoring. Establishes testing frameworks and code-quality practices for shared research software with rigorous validation of psychometric algorithms and adaptive-testing logic
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is central to tomorrow’s computing systems. You will lead a research group with strong expertise in algorithms, computational models, software engineering, and resource-efficient, intelligent systems
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planning, improved treatment planning optimization algorithms, integration of MR and PET imaging into radiotherapy decision making and treatment planning, 4D imaging and motion management, the use of Deep
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programming languages like Fortran, Perl, HTML/CSS, and Python is helpful. Experience working with large data sets and complex statistical algorithms is strongly preferred. The applicant should be able to solve
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, machine learning algorithms, and experimental condition-monitoring systems (accelerometers, acoustic emission sensors). WHAT WE ARE LOOKING FOR You have a strong interest in scientific and/or project-based
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(see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Research and explore the model design space for vision foundation models