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bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution solar
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, the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social
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compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The Anatomy Department is a basic science department within the School of Medicine
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studies according to the field. Possible research directions include: Development and implementation of digital twins, real-time sensor systems, and AI-based models to improve the safety of future
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learn about carcinogenic mutagens (https://www.biorxiv.org/content/10.1101/2023.12.06.570467v1 ), while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth (https
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, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data collections. 3) Investigate the spatial patterns of fish and
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laboratory analyses, and the application of tools for statistical modelling and spatial analysis using R and QGIS. The feasibility of execution relies on the existence of an already established database and
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statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging, and clinical covariates. Apply
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. quantitative and/or qualitative counterfactual-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing
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nanofabrication methods for neural interfaces, neurophotonics methods for brain stimulation, recording, and imaging, pre-clinical models in bioelectric medicine or brain injury repair, brain organoid technology