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: 7023830 Postdoctoral Associate, Earth Sciences Position Information Position Title: Postdoctoral Associate, Earth Sciences Department: Earth Sciences Posting Link: https://www.ubjobs.buffalo.edu/postings
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Accelerator is funding a groundbreaking study on advancing the science behind methane production, electron flow, and its connection to animal productivity. Specifically in this role the potential contribution
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computing where the focus will be to work on to the current efforts on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
at Chapel Hill invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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workflows to accelerate the discovery and optimization of advanced materials for energy applications. Within the SEMS group at IREC, the main objective is the implementation of an automated experimental
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Description Are you excited about using large-scale AI to accelerate scientific discovery? Join a Horizon Europe project developing next-generation scientific foundation models that combine knowledge graphs
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investigates the hypothesis of accelerated aging in schizophrenia, focusing on the analysis of the epigenetic clock in older adults. Position Requirements: Demonstrated experience in functional brain
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analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and ionomer
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the benefits of HOFI channels for laser wakefield acceleration (LWFA). Your mission will involve applying multi-physics approaches to address both the long time scales required for channel formation and the