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- research experience in the evaluation of global wave reanalysis and integration of topographic and bathymetric datasets, as well as experience in the implementation of XBeach and SWaN models. Preferential
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modeling), spatial data infrastructure systems and strategies, participatory serious gaming, and immersive technologies, as well as their applications in human-space interaction. You will work here You will
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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virtual histology (spatial correlation between gene expression and cortical phenotypes). To validate findings obtained in cohort studies, we use ex vivo (e.g., brain organoids) and in vivo (e.g., mice
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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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. The successful candidate should apply state-of-the-art methods in either aquatic ecology and biodiversity research (e.g., environmental omics, eDNA, etc.) or hydrology (e.g. integrated modeling and/or AI-based
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placement opportunities available; and details of our recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Meltwater runoff from the Greenland Ice
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on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis; archival, ethnographic, and participatory research; GIS and social
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therapeutic strategies, with a focus on precision and patient-oriented approaches. https://nastalylab.gumed.edu.pl THE RESPONSIBILITIES OF THE PERSON EMPLOYED IN THIS POSITION WILL INCLUDE: Conducting
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), and spatial transcriptomics to generate predictive models for disease risk, treatment response, and outcomes. Building Genomic and Genetic Resources ● Equine pangenome and pantranscriptome development