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2024, Nature) and will integrate modelling methane exchange in upland trees with the LPJ-GUESS dynamic global vegetation model to identify past, current and future changes in this new-found methane sink
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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agents and treatment combinations in cancer models. Manage and maintain mouse xenograft models (including PDX and cell-line derived models). Perform drug administration, tumor measurement, sample
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. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
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orally and in writing. Experience in at least one of the following topics: mathematical biology, mathematical modelling, agent-based modelling, Bayesian inference, optimisation Demonstrated ability to use
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team to develop/produce/investigate a web-based Ship Simulation and Optimisation Software Platform. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI
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, and utilize the state-of-the-art multi-scale atmospheric models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and
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.-based academic institutions who can be matched to projects within their area of scientific expertise for this unique 2-3-year assignment. Applicants who are awarded a postdoctoral position will have the
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-based genome editing tools into next-generation gene therapies to treat those untreatable human genetic diseases, such as cystic fibrosis and liver cancer. To achieve this, we will engineer advanced
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Details Title Postdoctoral Fellow in Atmospheric Chemistry Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Environmental Science and Engineering