312 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" positions in United States
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Field
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scientists who can use multiple tools and approaches with a desire to advance science at the intersection of soil health and/or water resources with plant production, soil-plant-microbe interactions
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Software testing Algorithm development Advanced programming topics (graphics, AI, compiler, parallel programming) Web development Educational Requirements: Master's degree in computer science or relevant
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generate insights with national impact, contributing to the broader understanding of democracy’s evolution in the digital age. The Hub’s findings will be positioned to inform policymakers, technology leaders
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methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional clinical and
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genomics into clinical care and advancing rare disease research. This position requires applying variant interpretation algorithms, developing bioinformatics pipelines, completing integrative multi-omic
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programming. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve independent research, studying
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to build end-to-end diagnostic pipelines. Dynamic Imaging Analysis: Develop and optimize algorithms for time-resolved imaging data, including cardiac cine MRI and dynamic contrast-enhanced series
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, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either
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problems across various domains. This role involves collaborating with interdisciplinary teams to develop and optimize AI-driven solutions while contributing to cutting-edge research through publications in
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Oncology of Columbia University Irving Medical Center is inviting applications for a Postdoctoral Research Scientist to work on developing scalable machine learning/deep learning approaches with applications