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quantitative research methodology and advanced statistical analysis, including experience with large longitudinal or population-level datasets Background in at least two of the following areas: epidemiological
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; Experience with EEG signal processing and study design; Statistical analysis skills for brain analyses; and Strong communication skills and ability to work both within a team and independently. KEY
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risk, including floodplain protection, coastal relocation, restoration potential, and local socio-ecological dynamics • Identifying and facilitating marsh migration corridors Fellowship Details
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Fellow recruitment. This role leads program evaluation requirements, supports data analysis and reporting, manages recruitment initiatives, and contributes to the broader Community Service and Civic
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application domains. Areas of interest include language model evaluation, robustness, safety assessment, benchmarking, and language-based analysis in health and mental health contexts. The successful candidate
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data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python. Develop physics-based computational models (e.g., finite element analysis) to complement
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, including participant recruitment and data collection. Support data analysis (experience analyzing longitudinal data preferred) and co-author peer-reviewed manuscripts. Contribute to grant development and
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applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc.. Participation in these projects will include
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with other faculty and researchers of the Center. Responsibilities: This postdoctoral position will involve leading independent research, as well as conducting analysis of existing data, which can range