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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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Cancer Institute seeks a Research Fellow to focus on next-generation, translational pathology studies who will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as
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focusing on optical sensor modeling, image formation processes and computational methods for highly complex image analysis, i.e. satellite images. The research will also focus on methods to extract spatial
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Description We are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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the neurobiological interpretation of MRI- based metrics, we employ virtual histology (spatial correlation between gene expression and cortical phenotypes). To validate findings obtained in cohort studies, we use ex
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on immunotherapy response. Where to apply Website https://ibb.edu.pl/en/phd-studies/rekrutacja/ Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Holding
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. • Integration of interactive maps, dynamic graphs, filters by zone, typology and time period. • Ensure good user experience, responsiveness and performance. • Implementation of calculations, indicators or models
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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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studies of visuo-spatial and language skills in toddlers at elevated likelihood for autism in comparison with neuro-typically developing children Recruiting and testing participants Analysing datasets and
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, the temporal and spatial resolutions of these have so far been inadequate to capture climate extremes. PAST overcomes this obstacle, both from the side of proxy reconstructions and of climate modelling