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experiments, develop analytical workflows, and drive projects from conception through publication. This role offers outstanding opportunities to publish high-impact research, present at international
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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This position focuses on the research and development of novel radiation detectors and associated edge-computing circuits and algorithms for X-ray, particle, and nuclear physics experiments
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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well as opportunities for growth and career development. The Postdoctoral Associate should be highly motivated, well organized, and able to work independently as well as part of a team. They will be required to design
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designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes access to grant writing workshops, individual development plans
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motivated Postdoctoral Associates to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science
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) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to perform R&D in the areas of electromagnetic transient (EMT) simulation and software development as well as dynamic
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inequalities in test access (QUEST). Each project is at a different stage in its development and so there is an opportunity to contribute to answering more established research questions, as well as helping
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throughput. The ERC DECODE project develops and applies leading-edge system genetics methods to decode context-dependent genetic networks in vivo. To achieve this, the ERC Synergy Project brings together