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Field
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expertise in regulatory proteomics, ADP-ribosylation biology, and mass spectrometry-based technology development. Postdoctoral position #1 is funded through a recently awarded grant from the Danish Cancer
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on the construction of multi-scale molecular health and disease network and develop AI-based analytical infrastructures to inform precision medicine-based decision support. The position entails collaborative work
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, presentations, software, datasets, and internal reports Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemistry, chemical engineering, materials science, polymer science
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international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest rising, highly ranked engineering schools in the nation. The school consists of four
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PhD in science and technology studies, scientometrics, information science, sociology of science, citizen science, or a related relevant discipline. A demonstrated interest in Open Science, citizen
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Position Description The position The Algebraic Combinatorics and Fundamental Physics Unit, led by Matteo Parisi, investigates new combinatorial and geometric structures underlying quantum field
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interdisciplinary research team consisting of professors, researchers, engineers, and PhD candidates. It will be primarily affiliated with the Section for Genetics, Evolution and Sustainable Plant Production
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Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemical engineering, materials science, chemistry, or a closely related field Expertise in crystallization science, including
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addressed by harnessing advances in tissue engineering, via the design of new organ-on-chip models that mimic features and functions of human lymphoid tissues in vitro. In this project, we will take advantage
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of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https://www.nature.com/articles/s42256-021-00407-x ), and extending these tools or developing new models as