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. This will include: Developing spatial community detection tools to identify functional hubs and cellular ecosystems in tissue. Implementing dynamic modelling frameworks, combining agent-based models and graph
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 9 hours ago
settings. We are seeking a dynamic and interdisciplinary scholar with expertise in science education and/or the learning sciences, and demonstrated experience with NetLogo or similar agent-based modeling
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experience in software development. Experience applying large language models (LLMs) or autonomous agents to scientific tasks such as code generation, protocol reasoning, or automated experimental planning
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software development. Experience applying large language models (LLMs) or autonomous agents to scientific tasks such as code generation, protocol reasoning, or automated experimental planning. Proven ability
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
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in hypervision, decision support systems, and AI agents applied to power grid operations (based on LF Energy's GridFM and OperatorFabric projects).; - Scenario modeling using real and synthetic data
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for other critical illnesses including trauma, neurologic emergencies, sepsis, acute respiratory distress syndrome and heart failure. This is a 2-year position with an option to extend based on performance
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develop design guidelines regarding the tokenomics of DAOs in general and for TAIKAI specifically. The selected candidate will be requested to: Create a basic agent-based model that simulates how users will
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enrolled in a Master’s program and undertaking their Master’s dissertation within the scope of the Blockchain.pt project, specifically related to the Field Lab: Agent-Based Model: How can the behaviors and
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be developing and applying advanced AI models and sophisticated multi-agent systems to address pressing challenges in regulatory genomics. Key research areas include: Mechanisms of Common and Rare