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Field
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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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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and
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programming (Dash, FLASK, geospatial python package), linux,relational databases/NOSQL Multivariate analysis (PCA, PLS, UMAP, tSNE, DBSCAN) and exploratory spatial data analysis Network and data sciences
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involves working with commercial fishing scientific data compilation, analysis, modeling, and visualization, and integration of local fishermen’s ecological knowledge, and available socioeconomics scientific
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terrestrial gravimetry (measurements, processing, modelling) is an advantage - Understanding of geodetic data analysis and geophysical processes is an asset - Basis understanding of quantum physics is a plus
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, integration, and analysis of large, diverse datasets obtained from Unmanned Aerial System (UAS), Satellite imagery, ground sensors, and field measurements. -The candidate will work on Texas Climate Smart
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parallel channels—manual signs, spatial grammar, facial expressions—operating simultaneously in 3D space, presenting unique computational challenges for cross-modal alignment. The project will pioneer new
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methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and Global South perspectives. Excellent writing and communication skills in English; proficiency in
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modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running and evaluating environmental models. Good publication record. Good speaking and writing
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at the field, drone, and satellite scale. Big data analysis including processing and analyzing EMIT hyperspectral datacubes over large spatial domains such as the Colorado Plateau and even global. Presenting