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important jeu de données préliminaires (scRNA-seq de >120 000 cellules, transcriptomique spatiale, cytométrie spectrale), le projet s'articule autour de trois objectifs principaux : 1-Caractériser la
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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at its institute Senckenberg am Meer in Wihelmshaven, starting as of June 2026: Researcher (m/f/d) for Marine Benthic Ecology and Spatial Modelling (CONMAR-Habitat) (full time / part-time options available
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Collaborative EPSRC Doctoral Landscape Award Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for details
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funding calls. REQUIRED PROFILE • PhD in Hydrology, Environmental Science, Remote Sensing, Data Science, Civil Engineering, or a related field. • Strong background in hydrological modelling, time
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collaboration activities. This includes the Chair of Spatial Information and Modelling, which is at the same time leading the IOER Research Area under the same title. Both TUD and IOER are globally oriented
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the advantages of the ADS are linked to its subcriticality, this must be ensured under all conditions (normal, incident, or accident). The SPATIAL project aims to develop a reliable method for measuring reactivity
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constituent une phase électronique caractérisée par une modulation spatiale de la densité électronique présente dans certains matériaux métalliques, souvent liée à l'apparition d'une bande interdite dans le
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collaboration activities. This includes the Chair of Spatial Information and Modelling, which is at the same time leading the IOER Research Area under the same title. Both TUD and IOER are globally oriented
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial transcriptomics. The main