42 computational-geometry-phd Postdoctoral research jobs at The University of Arizona
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, etc.). Leveraging computational geometry methods for advanced manufacturing applications. Advancing topology optimization methods for lightweight and high-performance designs. Collaborating with faculty
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principal investigator running an extramurally funded research program. Responsibilities include: Carry out hypothesis-driven research projects, generate and analyze data, and evaluate progress in multiple
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Qualifications PhD or MD, PhD degree in neurobiology, biophysics, molecular biology, biochemistry or related field of study. Preferred Qualifications Experience with computational fluid dynamics. Experience with
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, demonstrated by a strong publication record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or
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work will focus on the modeling and interpretation of transiting exoplanet and host star data from JWST, and the upcoming Pandora mission. The Eyes on the Stars JWST Archival program aims to study host
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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on the project. Knowledge, Skills & Abilities: Previous research focus on biocrust community composition and their functional role within dryland ecosystems. Minimum Qualifications PhD in ecosystem ecology or a
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Associate I position seeks scientists ready to pursue an ambitious program of research in astronomy or astrophysics (0.5 FTE) and in supporting service operations (0.25 FTE) of Steward Observatory
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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is available in the laboratory of Dr. Terry O Matsunaga, Pharm.D, PhD in the Department of Neurosurgery and Biomedical Engineering at the University of Arizona (Tucson, AZ). The successful candidate