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research of the highest quality—reliable, reproducible, and rigorous. As a postdoctoral fellow in our team, you will play a key role in unravelling the complexities of mitochondrial PQC. You will benefit
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
: 311391 Vacancy ID: PDS004746 Position Summary/Description: A position is available for a Postdoctoral Research Associate (RA) in the lab of Dr. Nicholas Brown, Department of Pharmacology and the Lineberger
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Requisition Id 15769 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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Position Title: Postdoc Research Associate - Electrical and Computer Engineering Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Postdoctoral Research
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to date. The analyst collaborates with OIT and end users to clarify requirements and provide reliable reporting solutions that support day-to-day financial operations. While this role will primarily support
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Post-Doctoral Fellow - 38691 Faculty Description University of Colorado Anschutz Medical Campus Department: Biomedical Informatics Job Title: Postdoctoral Fellow Position # 00844193: – Requisition
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quantification of ocean carbon storage efficiency, enabling more reliable MRV and better planning and optimization of large-scale carbon removal interventions. Key Responsibilities The postdoctoral researcher will
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engineering processes and validate this design as early as possible; (P2) integrate a reliable and frugal embedded AI (limited to inference and/or also capable of learning, e.g. reinforcement learning) as one
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. The proposed modulation and control strategy should pursue the objectives of increasing the efficiency or reliability of the traction drive by means of suitably modified control based e.g.: on improved
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on digital hydro-twins for water resources management. The thematic focus aligns with the Unit’s mission to deepen the understanding of complex environmental systems and to provide reliable predictions