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Field
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techniques, with a specific focus on symbolic model checking methods using satisfiability and satisfiability modulo theories solvers as symbolic reasoning engines. Importantly, in addition to researching novel
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Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (AI) offers a great
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Are you excited by ecosystem modeling, climate change and polar oceans? Do you enjoy quantitative work, coding, and turning ecology into equations? We are looking for a highly motivated PhD
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, or a closely related field and with several years of experience and have research experience in at least one of: mechanistic or representational interpretability; model evaluation and benchmarking
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research studies, data management, model development, executing experiments, and evaluating chip packaging techniques. Performs hands-on processes in chip fabrication, packaging, metrology, and
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Position Description About the position We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work
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measurements and process-based modelling to identify the mechanisms linking vegetation, soil microorganisms and ecosystem carbon cycling. The project spans laboratory, field and ecosystem scales and combines
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should be attached to the application describing how your background, skills, and research interests make you a good match for the project on AI foundation models for integrative single-cell and multi
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generation, and output coding. Datasets will be shared with the project team. The successful candidate will work with academic and stakeholder partners to generate model-ready UAV datasets and develop
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, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together