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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses on regulatory
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directly related to the type of work being performed. No experience is required. Additional Posting Information: Candidates should have a Ph.D. in environmental engineering/water resources, chemical
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/position/39383 and submit a CV, cover letter, and contact information for three references. The work location for this position is in-person on campus at Princeton University. The position is subject to the
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apply online at https://hr.psu.edu/careers and include a curriculum vitae, a cover letter with a summary of relevant skills and experience and contact information for three professional references (name
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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single PDF file (5MB max) that includes: a cover letter, a curriculum vitae, and the contact information for two professional references. Apply to job#0000069658 at http://www.psu.jobs . Review
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undergraduate research students. To apply: Please apply via Academic Jobs Online (${JobURL} ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three
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. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local
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) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain