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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Environmental science » Global change Environmental science » Water science Geosciences
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and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving
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Previous Job Job Title Post-Doctoral Associate: Pathophysiology of PD Next Job Apply for Job Job ID 376342 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular
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on probability, partial differential equations, large deviations, stochastic analysis, optimisation and machine learning. The successful candidate will contribute to the activities of the Machine Learning & Data
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collection, and statistical analysis. Proficiency in statistical software (e.g., R, SAS, STATA) and data management techniques. Demonstrated experience in analyzing large epidemiological datasets. Excellent
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://aria.org.uk/opportunity-spaces/resilient-climate-and-ecosystems/accelerated-adaptation for more information on ARIA and this programme). The project is a collaboration between groups at the Universities
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application Durham University will be processing your data. We would ask you to consider the relevant University Privacy Statement Job Applicants/Potential Job Applicants - Durham University which provides
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19 Aug 2026 Job Information Organisation/Company CNRS Department GULLIVER Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 8 Sep 2026 - 23:59 (UTC
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built by employees, for employees Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all
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needed to make chronic disease care more effective, efficient and fair in low-resource settings. Job description Are you interested in leading applied research within a large-scale field experiment aimed