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California State University, San Bernardino | San Bernardino, California | United States | 4 days ago
course content: Advanced Epidemiology, Advanced Biostatistics, Research Methods, Program Planning and Evaluation, Infectious and Chronic Disease Epidemiology, Spatial Epidemiology, Advanced Topics in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
CCAMLR meeting: the expiration of Conservation Measure (CM) 51-07, which previously mandated that the maximum allowable catch of 620.000 t be spatially distributed among subareas 48.1 to 48.4. With
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, spatial transcriptomics and single cell genomics for the analysis of changes in these disease tissues. This individual will work very closely with senior members of the group to accomplish these tasks
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with a focus on next generation cancer immunotherapeutics. The candidate will support the lab in using multiparameter flow cytometry, high-throughput RNAseq, spatial transcriptomics, and other cutting
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of research studies on cancers and assists in the analysis of cancer surveillance data using the New Jersey State Cancer Registry (NJSCR). The RS II will also provide advanced expertise in health geography
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to the fundamentals and algorithms of spatially and time-multiplexed oscillator-network computing. Duties The PhD student will focus on the fundamentals and algorithms for spatially and time-multiplexed oscillator
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Heritage and Education Economic and Spatial Development, Democratic Participation and Social Integration Biodiversity and Health Light, Matter, Information Environment and Sustainable Development Research
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University, University of British Columbia, Université du Québec à Trois-Rivières, and Yukon University, supported by the Canada First Research Excellence Fund. More information on: https://www.uvic.ca/acet
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acquire advanced expertise in navigation models, spatial representation, object representation, and relational knowledge representation, as well as in planning algorithms based on probabilistic models and
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, and spatial organization, crucial especially in early developmental stages but relevant throughout life. Drawing from cellular and molecular biology, it delves into embryology, morphology, genetics