1,059 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at Nature Careers
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. Responsibilities include: Managing and mentoring a multidisciplinary team of machine learning and image analysis experts Coordinating DCU activities across partner sites and aligning them with HI strategy Co
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actively seek out new opportunities to learn and lead. If you're hungry, humble, and smart, and if you're looking to invest in a team that wants to invest in you, we'd love to consider your application
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) preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate
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should have a graduate degree (Master 2 degree). Him/her scholar background should include: • statistical/machine learning, statistical inference, clustering, classification • deep learning, variational
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treatment machines, imaging systems, and patient-specific quality assurance, including the collection and processing of treatment-related data. Assists in maintaining physics equipment and organizing
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the job. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate
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Scientist- Talbot Laboratory, Departments of Surgery and Bone Marrow Transplantation and Cell Therap
exceptional Scientist to lead studies in pediatric immune-oncology and solid tumor CAR T cell development. Our laboratory is part of a larger team of collaborative scientists within the Departments of Surgery
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hematopoietic graft products and genetically modified products for sickle cell disease and CAR T-Cell therapy applications. The Cell Therapy Lab is composed of two sections, the Quality Control Section providing
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connecting AI, computational biology, human–computer interaction, and research software engineering. Close collaboration with the Helmholtz AI Consultant Team, providing direct exposure to a broad range of
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, it is critical that pediatric hematology/oncology practitioners understand and learn how to incorporate recent exciting yet complex discoveries surrounding germline genomics into the daily management