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Field
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characterise the internal dynamics of neural networks. Topological approach – based on metrics derived from topological data analysis to capture qualitative structural changes in the neural network configuration
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that all animal protocol rules and regulations are followed. Compile and analyze data with appropriate statistical analysis, conclusions, and future directions in support of future CHI research. Keep up
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Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
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-oncology, focusing on the role of myeloid-derived suppressor cells in solid cancers. The successful candidate will have experience in isolation and analysis of myeloid cell functions, strong hands-on skills
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modification. By marrying first-principles theory – trade-off analysis, game theory, reaction-diffusion, and consumer-resources models – with single-cell tracking and synthetic community experiments
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Knowledge of qualitative, participatory, and creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated ability to work
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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graduate students and staff. Analysis and write-up of papers from already collected-data, involvement in grant proposals, and other duties as assigned. Salary Range: Base pay is commensurate with experience
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for data analysis/scientific computing, and excellent decision-making, problem-solving, planning, and organisational skills. Please direct enquiries about the role to Prof Martin Bureau: (martin.bureau
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especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory