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Field
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Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life on exoplanets. The position will be supervised
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not require teaching, but it may be possible to get teaching
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to possible renewal for up to 3 years. The position is available immediately, but the exact start date for the position is negotiable. A start date as soon as possible is highly desirable. Postdoctoral
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the Andlinger Center for Energy and the Environment and the Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis
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publication list BSc, MSc and PhD transcripts Research statement elaborating how you plan to contribute to the above research topics Contact details of at least three references. All attachments should be in
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skills Minimum of 3 years of experience conducting community-based participatory research Advanced understanding of systems science approaches and ability to bridge quantitative and qualitative research
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models and will act as a data science expert for other consortium partners. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be