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Number: JR89560 Position Summary Postdoctoral Research Associate position open in the Williams Lab in the Department of Ophthalmology and Visual Sciences. The Williams Lab is seeking a postdoctoral
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in control systems and/or machine
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heart failure are preferred. The employer retains the right to change or assign other duties to this position. About the Lab The position is in the laboratory of Dr. Aleksandra Babicheva with overall
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
nodule collector prototype Patania II in the Clarion Clipperton Fracture Zone (CCZ) in the subtropical Eastern Pacific in 2021. Undisturbed conditions including their spatiotemporal variability (‘baselines
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a Postdoctoral Researcher for experiments in swarming dynamics of living swimmers A Postdoctoral Researcher position is available in the Living, Fluid, & Soft Matter group of Prof. Matilda Backholm
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image
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Infrastructure". If you have a strong background in managing technical projects, software engineering, and data science, this position offers ample opportunities for conducting cutting-edge health data science on
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recruitment and supervision of future PhD students and postdocs. We seek applicants who: Hold a PhD in molecular biology, biotechnology, bioengineering, or related fields. Demonstrate enthusiasm for complex
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics