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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools
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earth system model data, with an emphasis on Seamless System for Prediction and EArth System Research (SPEAR) for seasonal to multidecadal prediction and projection. The project will emphasize elements
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. A physician may also be asked to participate in mentoring clinicians in training. • Provides consultative guidance when requested by another UHS professional. The UHS model fosters a collaborative
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design, Multiphysics modeling and microfabrication in a collaborative mindset to drive projects from concept to completion. This role involves leading one or more innovative research projects in particle
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programs for estimating econometric models, and create and manage an active internet site are important aspects of this position. In addition, the successful candidate should be able to write summaries
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optimization (theory, modeling, and tools). Candidates should apply at: https://www.princeton.edu/acad-positions/position/39361 and include a cover letter, CV (including a list of publications), research
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vitro and in vivo including analysis of mouse model of obesity and cancer. This is a one-year appointment with the possibility of extension. Depending on the prior experience of the applicant, candidates
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The Pena lab primarily studies the molecular mechanisms of brain development and the impact of stress across the lifespan, using a mouse model. This position will support the lab generally through
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available