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20th October 2026 Languages English English English The Department of Biology has a vacancy for a PhD Candidate in Modelling Marine Larval Dispersal and Spatial Population Genetics and Demography
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and quantitative models. Documented capabilities in programming like Python, R, SQL, or Julia. Proficient in Excel and PowerPoint. Preferred Qualifications Geospatial modeling and analysis is a
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models. Publish research results in high-quality international journals (at least two peer-reviewed papers are expected). Eligibility Appointment to a postdoctoral position at Lund University requires
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administrative units. Academic Affairs works collaboratively to strengthen ECU’s culture of academic excellence in line with our mission to be a national model for student success, public service and regional
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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accordingly. Applicant must have: A PhD in wildfire science, forestry, atmospheric or climate science, geography, or a related discipline. Demonstrated experience with fire behaviour modelling systems (e.g
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lead on research and development of new AI/ML methods and models Minimum Qualifications (or equivalent combination of education and experience) - PhD in Computer Science, Wildlife Biology, Ecology, Data
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PhD in Remote Sensing, Geospatial Science, Environmental Science, or a related field. Demonstrated expertise and recognised leadership in remote sensing and geospatial analysis applied to environmental
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Jersey. This project integrates residential histories, geospatial air-pollution estimates, cancer registry data, medical and pharmacy records, patient-reported outcomes, and circulating biomarkers
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, computationally efficient modeling techniques, and critical evaluation of highly multidimensional model outputs. Experience with small-area or geospatial epidemiologic models. Ability to work both independently and