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Field
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specifically with linear-mixed effects regression models Preferred Qualifications Prior experience interacting with individuals with aphasia, dementia, or related conditions in a research context Experience
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values of Integrity, Excellence, Respect, and Creativity. This position is part of our Intelligent Cell Simulation System project, which focuses on developing artificial intelligence (AI)-driven models
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compositions and land-atmosphere interaction using observations and models. We currently study the emissions, atmospheric transport, and chemistry of greenhouse gases and air pollutants over urban areas
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before 19th February 2022 are not eligible unless they have since had a career break. Please check the eligibility and person specification guidance in the scheme notes to establish suitability
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modelling/software methods. We are seeking a creative and motivated Early Career Postdoctoral Research Fellow to join this team. This is a unique opportunity to take a lead role in eDNA modelling and software
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currently popular models, suggesting that a first cosmic CO detection could be imminent. COMAP is led by Caltech, and is supported by an international collaboration that includes University of Oslo, NASA’s
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experimental data, and writing for peer reviewed social science journals. Candidates should have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models
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of the Large-Scale Language Model of the Portuguese Language of Portugal (Automatic Multimodal Language Assistant with Artificial Intelligence), reference AMALIA, inserted in measure RE-C05-i08 of the Recovery
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theory & experiment: Co‑design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data
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This is a one-year position with opportunity for renewal based on funding and performance. The position will include a full-time benefits package. Security sensitive; criminal background check conducted