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sample preparation, HRMS-based chemical analysis, data processing, statistical evaluation, scientific communication, and collaborative research. About the position We are seeking a PhD student who will
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remaining biologically interpretable? The PhD candidate will design and apply integrative computational workflows using methods such as multi-omics integration, spatial modelling, representation learning
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California State University, San Bernardino | San Bernardino, California | United States | 7 days ago
., spatial analysis, social network analysis, intelligence analysis, forecasting) are especially encouraged to apply. TYPICAL ACTIVITIES Teach courses primarily in person and possibly online at the San
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spatial analysis of strandings data, including trend and time-series analysis. 6. Produce descriptive statistics, tables, figures and distribution maps, together with the analytical and interpretive content
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modalities, spatial scales, and diverse populations. Position Highlights Work with cutting-edge multimodal concurrent stimulation-recording datasets spanning iES, TMS, iEEG, single-unit, and fMRI. Study causal
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theory, quantitative analysis, spatial approaches, and reproducible workflows. Current research areas include: Spatial community ecology and landscape ecology Trait-based and functional ecology Ecological
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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analysis, cell-state and cell–cell communication analysis, and predictive modeling. Lead secondary projects involving single-cell RNA sequencing and spatial transcriptomics. Perform raw-data processing
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interactions at both local and larger spatial scales. The PhD position is in a project which will support effective strategic planning for coastal marine restoration by developing key performance indicators
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analytical or computational methods (e.g., remote sensing, spatial analysis, systems or integrated assessment modelling) applied to sustainability. Candidates from other methodological areas with clear