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, the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social
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. quantitative and/or qualitative counterfactual-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing
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nanofabrication methods for neural interfaces, neurophotonics methods for brain stimulation, recording, and imaging, pre-clinical models in bioelectric medicine or brain injury repair, brain organoid technology
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collaborative research environment to analyze unique spatial data in an innovative manner. You will develop and perform cutting-edge bioinformatic analysis integrating different multiplexed spatial data, and gain
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laboratory analyses, and the application of tools for statistical modelling and spatial analysis using R and QGIS. The feasibility of execution relies on the existence of an already established database and
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, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data collections. 3) Investigate the spatial patterns of fish and
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making, app & web design, motion graphics, spatial design, 3D modelling, and animation. All courses are supported with contextual and theoretical underpinnings. The Design Studies program has an excellent
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invites applications for a cohort of up to three outstanding Postdoctoral Research Fellows to join a dynamic, interdisciplinary team undertaking a spatially explicit, contextually informed, and justice
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group Physical Geography, which has a sound reputation in the research domains of landslides, “human impact” on geosystems and spatial modeling of geomorphic processes as well as in the applied research
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in any of the following areas would be highly valued: prior work on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis