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2025, or as agreed, in a fixed-term contract until 31.8.2029. Background The positions are opened in the HIP CMS experiment group, which contributes to the analysis of data from the CERN CMS experiment
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, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
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: Analysis and Geometry Appl Deadline: 2025/07/13 11:59PM (posted 2025/06/06, listed until 2025/08/25) Position Description: Apply Position Description In the Faculty of Faculty of Computer Science
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: wildlife ecology, biogeography, conservation science, environmental science, habitat suitability modeling/geospatial analysis, field studies Description: The Institute at Brown for Environment and Society
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involve scientific research; analysis and interpretation of data; daily oversight of the activities of postgraduate and undergraduate project students in the laboratory; communication with other
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
, motivated, efficient, independent, and the capability to solve problems. Friendly, articulate, and interested in working in a small team environment. Experience in statistics and data analysis Duties and
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analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
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stakeholders. The successful applicant will be expected to lead and develop qualitative research activities, data analysis and project support. The applicant will have responsibility for leading research
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments
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-procedural data collection, CTA measurements, and ultrasound interpretation. Develops clinical research studies and conducts data collection, data analysis and interpretation in advance aortic research within