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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and procedures and safeguards University assets
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI
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The Organismal and Evolutionary Biology Research Programme invite applications for three postdoctoral researchers in biodiversity science, genetic indicator assessment and ecological statistics
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related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and
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This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields: computer science, information science, industrial ecology, operational research, environmental
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. Exploring how these models can enhance human-computer interaction and improve our understanding of multimodal communication.To do so, you will have full access to motion-capture and virtual-reality labs, 3D
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
patient-derived organoids (PDOs), patient-derived xenografts (PDXs), patient samples, and mouse models. Our computational methods integrate multi-omics data (transcriptomics, genomics, proteomics