2,433 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions in United States
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The Dawlaty Laboratory at the Albert Einstein College of Medicine in New York city is recruiting postdoctoral fellows with interest in epigenetics of stem cells and development. We are seeking
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Skip to main content Recruit Home Open Recruitments Postdoc-UCSB Physics Dept. (Galaxy Evolution)/Casey Research Group (JPF02904) Postdoc-UCSB Physics Dept. (Galaxy Evolution)/Casey Research Group
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modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
into FE codes for application in process optimization studies Utilize ML algorithms and optimization frameworks in conjunction with FE simulations to develop process optimization framework for metal/ceramic
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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. PyTorch). Experience analyzing high-dimensional data (biological or otherwise) or single-cell, bulk sequencing, or other biological data. Experience in algorithms and good software development practices
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machine learning. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software
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field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
measurements while making new types of measurements that further describe aerosol and cloud properties. Validation of these new measurements is a challenge, requiring the development of alternative
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an exciting approach to agentic, fully autonomous thin film development using a combination of automated electroplating, in-operando measurements, and AI driven algorithms. He or she will work with a team of