425 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" positions at Princeton University
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A full-time Research Specialist position is available in the laboratory of Prof. Nathalie de Leon. The group focuses on building quantum technologies for sensing and information processing using
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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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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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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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collaboration with Professor Tanushree Goyal on research projects related to the political economy of development (for example, cultural change, as well as environmental conservation, political participation
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issues. 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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collection and reporting across multiple locations. Team Management: Lead, mentor, and support a team of technical professionals, providing guidance on best practices and professional development. Foster a
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media including Facebook, Twitter, Instagram, YouTube, LinkedIn, and TikTok as well as excellent understanding of algorithms and platform best practices. - Storyteller at heart with strong writing skills
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development (for example, cultural change, as well as environmental conservation, political participation, gender, bureaucracy etc.). The position involves a variety of tasks that provide excellent preparation
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develop a fast-paced AI/ML program strategically aligned with DOE and other Federal Agency goals, ensuring that the research program advances and fits within PPPL Annual Laboratory Plans (ALP) goals