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expertise in molecular and cellular biology to advance our research initiatives and enhance computational methodologies. Ideal candidates should have a PhD in Biology, Neuroscience, Computational Biology
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growers and also include monitoring Drosophila, categorizing grape cluster architecture and damage, monitoring weather variation between sites, and estimating economic costs and benefits. Research
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propulsion, engine clustering, low structural ratio and low-cost system-integrated avionics; develop mathematical models relating to the cryogenic liquid engines and their components to be applied
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thematic clusters, and analyse temporal break points and geographic trends. The Postdoc will build a database to answer research questions developed within the project, and produce at least two peer-reviewed
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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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, with potential for renewal based on funding and performance. Additional Information: PhD in Molecular Biology, Biochemistry, Molecular Epidemiology, Evolutionary Biology, Bioinformatics, Biostatistics
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are creating a world-class innovation cluster for the life sciences. For more information about the lab and team, visit www.camunaslab.org and our research profile . 💻 Position 1 – Postdoctoral Fellow in AI
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the Structure of Polyoxometalate Clusters (RESPOM) Objective: To fully understand the synthesis-structure-function relationships of polyoxometalates (POMs) in their non-crystalline active state, whether in
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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative