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, R, MATLAB) for data processing and analysis. - Experience in statistical processing of spatial and temporal data. 4) Instrumentation and metrology: - Knowledge of sensors and measurement instruments
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. Preferred Qualifications Applicant must be a strong writer and quantitatively skilled with experience using GIS tools and statistical software, ideally R, and could have a PhD in one of several fields
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(UCSF) to develop the frontier of artificial intelligence (AI), machine learning, computer science, and statistics to accelerate advances in biomedical research. About the Center for Computational Biology
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communication skills in English English requirements for applicants from outside of EU/EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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findings in a PhD thesis and peer-reviewed articles and give presentations at consortium meetings and (international) conferences. Where to apply Website https://www.academictransfer.com/en/jobs/364083/phd
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 hours ago
Posting Details Posting Details Position Title Assistant Professor - Structural Geology External Link to Posting https://jobs.uncw.edu/postings/41017 College College of Science and Engineering - 323
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try again. UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the
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evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You will collaborate with
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large