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postdoctoral research position available in the area of phylogenomics to work with Professor Tiago Simes. The Simes lab is broadly interested in phylogenetic methods and applications, using morphological and
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a quantitative background, the selected candidates will ideally have one or more of the following
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submitted online and by September 14, 2025 for fullest consideration. We do not accept application materials by any other method. Letters of reference should be submitted by the priority deadline of September
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polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using advanced microscopy techniques and related methods
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of phylogenomics to work with Professor Tiago Simões. The Simões lab is broadly interested in phylogenetic methods and applications, using morphological and genomic data for reconstructing evolutionary
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) understanding and controlling interfaces for lithium-metal batteries, and iii) synthesis and characterization of catalysts for plasma-assisted catalysis. Research involves synthesis and characterization
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include: a Ph.D. in Neuroscience, Psychology, Cognitive Science, Computer Science, Engineering, or other related field, and strong experience with computational models, programming, and quantitative methods
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experiments and methods. Additional expertise in plasma, plasma-materials interactions, and/or ALE is of significant value. Experience with the design, construction, operation, and maintenance of UHV