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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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sequencing and phenotyping data. Design and execute pipelines for mutant detection and pathway analysis (e.g., PCA, sparse CCA, eCCA). Perform rigorous QC and visualization to validate findings. Develop and
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environment. The department consists of 34 faculty members (https://www.pharmacy.umaryland.edu/about/depts/psc/faculty /). The department has about 60 PhD students in its Pharmaceutical Sciences Graduate
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rates. Working under the mentorship of experts in genetics, patient safety, and AI/ML, the postdoc will have access to AbbVie's unparalleled genetic and safety datasets. This project represents a key
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) project is to use the information collected by the global participatory science project, eBird, to become the go-to source for publicly available high-quality, high-resolution visualizations, data products
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Scholar Annual Basis: 12 Month Review of Applications Begins December 1, 2024; position open until filled. Special Instructions to Applicants Please apply here: https://academicjobsonline.org/ajo/jobs/28843
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research group and KAUST can be found under the following links: http://peterwonka.net/ https://cemse.kaust.edu.sa/vcc https://www.kaust.edu.sa/en If you are interested in joining us, please contact pwonka
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2024-25/july-2024-scales/t37-b.pdf . A reasonable estimate for this position is $180,000
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22.03.2021, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine