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Applicable Driver's License: A driver's license is not required for this position. More About This Job Preferred Qualifications: Master’s degree or PhD in statistics, bioinformatics, computational biology, or
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. This interdisciplinary initiative includes professors Marjo Saastamoinen (biodiversity), Anna-Liisa Laine (biodiversity), Jarno Vanhatalo (statistics), Lassi Ahlvik (environmental economics) and Kari Hyytiäinen
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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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-performance computing equipment. Learn more about why McGill is an exciting place to work: https://www.mcgill.ca/careers/why-mcgill Under the direction of the Bioinformatics Manager, the Bioinformatics Analyst
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methods; statistical methods, geoinformatics (including spatial econometrics), AI methods (e.g. NLP methods - Sentiment Analysis, Topic Modelling, Discourse analysis), visualization methods, as
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emission') et des corrélations spatiales inexpliquées entre des points d'émission distants. Dans ce contexte, une approche moléculaire est complémentaire aux barrières d'oxydes métalliques largement étudiées
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Scheduled Hours 40 Position Summary The Cremins lab works at the spatial biology-technology interface to understand chromatin-to-synapse communication during neural circuit activation in
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associate to carry out research on machine spatial reasoning. The appointment is for one year, renewable for a second year, given the availability of funds. The focus is on developing tools for characterizing
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 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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and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods