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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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to identify the historical, structural, and contextual drivers of disease risk and inequity, and map pathways and interactions among determinants to inform disease mapping and modelling. The RA will lead the
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experiments under the supervision of the leading team and will be focused on projects that elucidate epigenetic and transcriptional regulation in wide variety of cancer models. This will involve a variety of
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 12 days ago
of Computational Biology (ICB) , as part of the Computational Health Center at Helmholtz Munich, is globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored
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combining multi-source, remotely-sensed data streams towards improved biomass, carbon-pool sequestration, multilayer fuel load, mapping key fuel variables and fuel models through data fusion that can be
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-Zero X (NZx) initiative, which is building on the impactful Net-Zero America (NZA) study (https://netzeroamerica.princeton.edu/the-report) that developed uniquely-granular spatial, temporal, sectoral
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models. The successful fellow will also contribute to collaborative efforts
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to apply Website https://jobrxiv.org/job/university-of-copenhagen-27778-postdoc-in-spatial-genom… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity
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availability). The Department provides an open, supportive, dynamic and motivating academic environment with the possibility to work on the cutting-edge research project related to the spatial transcriptome