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use strategies to conserve fish and wildlife habitat while meeting human needs. Teaching responsibilities will include an undergraduate course in remote sensing and spatial data analysis and a graduate
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, natural resources, spatial sciences, math, statistics, or related field of study. -Minimum of 4 years in geospatial analysis, statistical analysis, or similar, in either an academic or professional setting
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sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics) – including aspects of informatics and advanced data analysis. You will be responsible
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including
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that sound like something for you? Welcome to our team! Your personal sphere of play: As a PhD student (PraeDoc) you will work in the Spatial Data Science and GeoCommunication group lead by professor Krzysztof
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students as needed. Where to apply Website https://www.academictransfer.com/en/jobs/362841/doctoral-candidate-spatial-inte… Requirements Specific Requirements An MSc in physics, meteorology, hydrology
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large spatial and temporal scales. Experience in the conceptualisation and development of new methodological approaches for analysing and modelling species range dynamics, functional trait variation
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Leaders program, nominees must have been working and residing outside Canada when the Eddie Goldenberg Research Chairs of Canada award (https://www.canada.ca/en/impact-pluschairs.html) is formally accepted
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handling high-dimensional, single cell or spatial data. Interest in interdisciplinary work combining AI and cancer biology. Proven track record of scientific publication. Demonstrated experience in
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secured funding support for ~2 years. The goal of this project is to design and develop spatially explicit decision support tools and assist with updating an Implementation Plan to identify and prioritize