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, bioengineering, and translational medicine. We are seeking a highly motivated Research Fellow (Level A) to join the node of the ARC Training Centre for Microphysiological System Technology (MiPSET), based
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia. The modelling will
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this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization Identifying optimal multi-use portfolio considering battery degradation
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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization
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models with hard-to-control outputs, we will focus on balancing data-based approaches with artists’ knowledge and search-based methods to achieve personalised and novel outputs. This position will have a
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translational questions, including but not limited to drug efficacy and safety prediction, mechanism-of-action inference, biomarker discovery, causal or network-based modeling of biological systems, and drug
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 8 days ago
(PROs) represent the only quantitative tool available to assess tolerability of oncologic agents under development, providing unique insights into the patient experience of symptomatic adverse events
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interdisciplinary pipelines to identify effective RNA drugs against human diseases: AI-driven RNA discovery – using AI agents to prioritize the therapeutic potential of human lncRNAs (supported by the NHLBI