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Field
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optimization of the advanced spectromicroscopy systems at the MAXPEEM beamline. Provide high-level experimental support and technical guidance to international visiting researchers (beamtime users). Research
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Li’s lab (https://jililab.org) at the University of North Carolina at Chapel Hill is recruiting postdoctoral researchers to join his interdisciplinary team. The lab focuses on integrative cancer omics
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(EU NIS-2 Directive), e.g., compliance optimization and automatization. The postdoctoral researchers will belong to the graduate school within the Wallenberg AI, Autonomous Systems and Software Program
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electrode materials, as well as expertise in electrode characterization for electrochemical synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical
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a grant from the Swiss National Science Foundation entitled Machine Learning for Optimized Ab-initio Quantum Transport Simulations (MALOQ). It officially started on January 1st 2026 and will
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and predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance
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synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical reactions. In your role, you will join the electrochemistry subgroup of the Giovannitti group
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visit https://orise.orau.gov/marine-energy-research-program/applicants/host-facilities.html . Applicants are not limited to this list. Program Provisions You will receive a competitive monthly stipend
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating