62 scholarship-phd-agent-based-modelling Postdoctoral positions at University of Washington
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Description The University of Washington Information School invites applications for a Postdoctoral Scholar position with the Data Services for Indigenous Scholarship and Sovereignty (DSISS) initiative. DSISS
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life on planetary environments
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optimization and ODE-based modeling Strong communication skills to interface with experts within the ATN, document the software and publish the results in the peer-reviewed literature Instructions Applicants
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genetic mutations. We aim to advance our understanding of these diseases and to develop and translate therapeutic strategies for future clinical practice. The applicant is expected to work on mouse models
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scholar to perform research related to lung injury and resolution. The successful candidate will use cell-based and mouse cells/tissue to study macrophage signaling pathways that promote lung injury
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scientific papers, and contribute to the overall preparation of research for publication. To assist in the training of PhD and undergraduate students. Working Conditions: This position works in a laboratory
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experience in molecular and cellular neurobiology to study neuronal regeneration and preservation in retinal mouse models of injury and disease. This project will examine how cellular metabolism impacts
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protective equipment and to provide standard care to research animals. Salary Range: Base pay is commensurate with experience. Applicant Special Instructions: To apply, please submit the following documents
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from a range of stakeholders (e.g. NOAA, ICCAT, DFO). The PDRA will work within the Marine Ecology Research Lab, a large lab consisting of four faculty, two PDRAs, five PhD students, two Masters