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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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developmental signaling pathways (Notch, Hippo) support tumorigenesis and might reveal novel therapeutic vulnerabilities. Every project incorporates the evaluation of novel pharmacologic agents to shepherd
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, etc.), and data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by
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that directly impact patients’ lives. By advancing proof-of-concept studies from cellular and animal models through human trials, RITMS ensures that promising discoveries are rapidly translated into clinical
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to identify user needs and requirements for efficient, scalable and reliable data pipelines and models that support data-driven initiatives. Support automation of operational workflows using Agentic AI
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics
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Intelligence in Digital Health (AIDH, https://go.osu.edu/aidh ) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu ) at The Ohio State University (OSU) is currently seeking applicants
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expertise in AI-based optimization and machine learning applied to biological systems. - Experience with Agent-based modeling, and PK/PD modeling - Experience working with diverse, multidisciplinary research
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science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making, including: development of AI models
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educator and role model to dental assistants as well as partner and bridge for dentists and patient care. Experience in sedation procedures and/or ACLS certification is desired, but not required. Prepares