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(if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft
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focused on: Developing gene therapy approaches for inherited retinal diseases. Designing and optimising CRISPR-based gene editing strategies, including base editing and prime editing. Generating and
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, machine learning, governance and operations, we aim to address the complex challenges and opportunities of space exploration. CfAI is a large research group in the Department of Physics at Durham University
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particular. By implementing LLM‑driven agents that plan the analysis workflow, call established image-analysis modules and judge their own output, you will streamline image processing efforts and enable
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 1 month ago
well as the performance of behavioral tests to evaluate motor activity. o The design and execution of both in vivo and in vitro experiments. o The application and development of cell and molecular biology techniques. Where
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Vacancies PostDoc Research Position on Developing Technology for Subjective Sporting Experiences Key takeaways Can technology learn to listen to how athletes feel, and not just to what the sensors
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description National Institute of Research and Innovation (NIRI) - the leading
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in