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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department
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integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions
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materials that meet the recruitment goals for each program. Plans and participates in conferences/meetings/career fairs, to promote the St. Jude Graduate School. Follows up with prospective students and
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decisionmaking modules that must operate under strict constraints on latency, compute, energy, and reliability. In many robotic platforms (mobile robots, drones, autonomous vehicles, ...), inference must execute
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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of experience in a business-facing Program Management role, with substantial consulting leadership & program implementation experience. Demonstrated experience managing/ overseeing/ leading multiple/large/complex
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) research studies and contribute to the growth of the Infectious Disease Translational Trials Center. She/He/They will share HIV Program clinical care responsibilities alongside other Division of HIV and
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We are seeking a Junior Research Group Leader with an outstanding record in nanoscience and nanotechnology. The successful candidate will establish an independent research program within the vibrant
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and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq
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an internationally recognised, competitive research program sustained by external funding. Teaching experience at university level is expected. The candidate will teach at the Bachelor level and contribute