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learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong
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experience of quantitative environmental data analysis, including climate data, ecological or forest inventory data, and/or spatial data sets, and skills in statistical analysis and data processing using tools
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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-index tomography experimental setup, including optical alignment, calibration, and performance evaluation. Conduct quantitative performance analysis of the system, including spatial resolution, phase
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statistics of mean and extreme wind events over the Baltic Sea region. Tellus A, 67, 29073. https://doi.org/10.3402/tellusa.v67.29073 Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, P.G., Hulst, S
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17 Feb 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Other Criminology » Other Mathematics » Applied mathematics Mathematics » Statistics Sociology
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, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies
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. Where to apply Website https://www.academiceurope.com/ads/phd-position-m-f-d-computational-biology-sin… Requirements Research FieldBiological sciences » OtherEducation LevelMaster Degree or equivalent
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, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods
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aseismic deformation, background seismicity, swarms, and repeating earthquakes is key to constraining models of subduction dynamics and earthquake preparation. The PhD will build on dense seismo-geodetic