74 algorithm-development-"University-of-Surrey" Postdoctoral positions at Princeton University in United States
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days per week. Leveraging Princeton's scholarly resources, fellows will focus on research, expand their intellectual horizons, and prepare work for publication. They will have biweekly meetings with
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fields. Candidate must have excellent computational and bioinformatic skills; abilities for developing simulation models will be highly valued; experience with ancient DNA genomic datasets is encouraged
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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opportunities to develop additional projects with members of Dr. Sinclair's lab and/or maintain their on-going work. The work location for this position is in-person on campus at Princeton University
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development. Former postdoctoral researchers with SGS have pursued careers in academia, nongovernmental and international organizations, and in government (including in the executive branch and congress) as
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-frequency comb laser for use in conjunction with a unique tip-enhanced spectroscopy instrument, currently under development in Prof. Rabitz's lab, to produce the world's first nanoscale dual-frequency comb
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Branch is dedicated to accelerating the study of metabolic phenomena associated with cancer to develop new paradigms for cancer prevention and treatment. Its main research areas include: - Metabolic
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, collaborative, and vibrant research environment. Princeton University is in an idyllic college town halfway between New York City and Philadelphia, with convenient train access to both cities. This opportunity is
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Fellows Program. The Program recognizes and supports outstanding early-career scientists who can make important research contributions in the areas of ecology, evolution, and/or behavior, while also
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collaborate with the ARG team on developing grant proposals. Qualifications Required qualifications: Doctoral degree in a related field, such as Computer Science, Robotics, Civil Engineering, Architecture, etc