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Field
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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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, 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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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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and seminars. Tasks and responsibilities: Carrying out experimental work at Lammi research station (Finland) Design and improve experimental protocols Data analysis Manuscript writing Mentoring BSc/MSc
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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies
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area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer. Qualifications: Required: PhD in Ecology, Geography, Data Science, or related
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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