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statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD program and pursuing an academic career (strongly preferred). We prefer
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, and assisting in the development of age-reversal interventions as potential therapeutics. The successful candidate will employ both in vitro and in vivo (mouse model) experimental approaches under
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learning models for data extraction and standardization. While prior experience with deep learning is not required, proficiency in Python is essential. Knowledge of Spanish or traditional Chinese is a plus
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learning models for data extraction and standardization. While prior experience with deep learning is not required, proficiency in Python is essential. Knowledge of Spanish or traditional Chinese is a plus
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the direct supervision of a postdoctoral fellow to study breast cancer initiation and progression using a newly developed mouse model of breast cancer together with primary patient samples. You will
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Qualifications Preference will be given to candidates with prior experience in one or more of the following areas: ecological (population) modeling, geographic information science, remote sensing, population
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as needed. Supports the primary care model. Documents all care, including response (patient progress and outcomes) to nutrition intervention, in concise, complete, and timely manner. Provides Nutrition
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habitats to develop “beaver-bots,” robotic tools inspired by beavers that work within and alongside natural systems; and (5) Planetary Design Computation—testing the potential of using targeted local
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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of the key criteria used when your application is evaluated. For projects that would be classified as basic research, we recommend applying for a Humboldt Research Fellowship. Should your programme search