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: 272342957 Lead Research Software Engineer US-NJ-Princeton Job ID: 2024-19506 Type: Full-Time # of Openings: 1 Category: Information Technology Overview The Princeton Language and Intelligence Initiative
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific
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Bioengineering, including but not limited to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound
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necessary. Applicants who are interested in DA research and development should have a strong background in using DA systems (such as GSI or JEDI) and a strong understanding of the data sets and algorithms
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-relevant AI4Science topics. This is a leadership position that will target new initiatives in AI/ML that are being planned by the Department of Energy (DOE). The incumbent will develop a fast-paced AI/ML
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analysis, and algorithms of computational research questions through independent research, studying existing code bases, and staying current with publications. Build awareness of software development tools
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Science (DDSS) initiative is recruiting an Associate Research Software Engineer to join our growing team. Research Software Engineers (RSE) at DDSS support research at the technical forefront
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development, etc.). Proficiency in programming languages like Python and C++. Expertise in machine learning algorithms and techniques. Familiarity with AI frameworks like TensorFlow, PyTorch, or Scikit-learn
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scientists to join the NOAA Research Global-Nest Initiative. This multi-laboratory project aims to develop ultra-high resolution atmospheric prediction models for better prediction, understanding, and
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limited to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation