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Field
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vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! The University of Arizona has been
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce
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, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and
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disease biology, or a related field. Experience working with ticks or other hematophagous (blood-feeding) arthropods. Knowledge of artificial feeding systems, vector–host–pathogen interactions, and/or in
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of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A
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include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural
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vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more! The
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document the data reduction and photometry pipelines required for high-precision time-series photometry. You help coordinate the observatory’s participation in international follow-up programs (e.g
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liquids and/or deep eutectic solvents for API synthesis; optimization of the process conditions with emphasis on reduction in use of organic solvents; controlling the conditions of the process and its
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to build and maintain reproducible analysis pipelines. Working knowledge of machine learning methods relevant to neural data, including dimensionality reduction (eg, PCA, UMAP, NNMF), manifold learning, and