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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
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advanced transgenic models. This role offers you the chance to shape emerging research directions, contribute to high-impact publications, and mentor the next generation of scientists. Your responsibilities
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test novel superconducting device components compatible with extensible quantum processors Analytical and numerical modelling of microwave quantum circuits and signals Design and conduct state-of-the-art
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on value creation for stakeholders. Postdoctoral Fellows at D^3 will work on various research projects related to these phenomena, including but not limited to: Business Model Transformation; Operating Model
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therapy, proteomics, and experimental models ranging from human induced pluripotent stem cell (iPSC)-derived retinal neurons to mouse and donated human tissue. You will be part of a dynamic, collaborative
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
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We are looking for a highly motivated researcher, whose expertise lies in statistics, to work with Prof Theodore Kypraios on a project at the forefront of infectious disease modelling. The role
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 hours ago
background in reinforcement learning, diffusion models, and geometric deep learning. 3. Candidates with experience working with antibody (or other molecule or material) design will be considered a significant
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CO2 biomethanisation, coupled with a good knowledge of quantitative analytical techniques and bioreactor kinetic models. A hands-on approach and strong skills in experimental rig design and process
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, or digital health infrastructure. Knowledge of the Five Safes framework or similar data access models. Ability to work independently and collaboratively in a multi-institutional project environment