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. Demonstrate experience in marine spatial and multivariate modelling of ecological or environmental datasets and proficiency in coding environments such as R / Python / Matlab; track record of peer reviewed
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relevant language) for ecological modelling, including the use of spatial datasets demonstrated ability to supervise or co-supervise Honours, Masters and/or PhD students Please refer to the Position
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Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues
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of priority elasmobranch species in the study area, while managing and analysing large telemetry datasets, and integrating environmental/spatial data to address key research questions on species ecology and
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cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python
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additional relevant software considered an asset. (5) Strong interest in marine conservation and management, especially in the context of Marine Protected Areas (MPAs) and acoustic-based ecological monitoring
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analytical frameworks and computational tools to tackle complex urban transformation challenges, including climate change, ecological shifts, socio-cultural dynamics, mobility needs, and sustainability
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, interdisciplinary team working at the intersection of data innovation and sustainability science, aligned with the values and principles of integral ecology. Job Description IMPORTANT INFORMATION - PLEASE READ
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tumor microenvironment (TME) following immunotherapy using state-of-the-art single-cell and spatial profiling approaches. Our group studies ecological mechanisms in early lung cancer development and
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position under the supervision of Dr. Chris Smith Home | Chris Smith . Our new lab in Evolution, Ecology, and Behavior investigates machine learning approaches for population genetics. Our research