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Modeling, and Pathogen Unit. These units directly support resident DHVI/RBL faculty and are also available to support Duke faculty and their collaborators as fee-for-service shared resources, and each unit
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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial
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the preparation of proposals and reports. Assist in teaching classes. 35% of Time the Postdoctoral Research Fellow may: ● Develop the computational pipeline for an agent-based model of PES landscape mosaic
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focus of the dissertation will be on advancing AI agent-based systems within the MEP construction supply chain. The position is located at the Faculty of Built Environment within the Real Estate
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 21 days ago
properties and a variety of potential applications. Application of the molecular dynamics methods combined with the approach based on the thermodynamic models of multicharged surfactant adsorption can provide
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: https://careers.temple.edu/sites/careers/files/documents/T_Salary_Structure.pdf EXECUTIVE SUMMARY: THE OPPORTUNITY Temple University invites nominations and applications for the full-time, twelve-month
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other media; and 4) to train and direct support personnel. The candidates are expected to have experience in animal bone marrow transplant models, DNA repair pathway, flow cytometry, and lentiviral-based
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highly desirable) AI/ML for predictive modeling and inverse design of nanomaterials Autonomous laboratories for materials synthesis and characterization Generative models, reinforcement learning, and agent