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agent of sexually transmitted infections. Within its host cell, the pathogen replicates within a membrane-bound compartment (the inclusion), whose stability depends on secreted bacterial effectors
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area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of
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structures (Banner, Workday, Salesforce, ServiceNow, and other enterprise systems) and build modern, scalable data pipelines and transformations that enable analytics, automation, applied AI, and agentic
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solutions to prevent avian and human infections caused by the two bacteria most frequently reported in many countries as agents of foodborne gastroenteritis, Salmonella enterica (Sa) and Campylobacter (Ca)spp
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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fungal infections. Emerging research is exploring radiometals conjugated with targeting molecules for in vivo imaging of infections via PET or SPECT. These agents can also be linked to therapeutics
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Essential & Desirable Criteria Essential PhD in relevant discipline (computer modelling of logistics or transport, agent-based modelling, sustainable logistics, or energy transitions) or equivalent industry
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expertise in agent-based modelling. The models we build will have an interface with community stakeholders and mobility service providers, so we are particularly seeking applicants who are comfortable in
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research domains: Cancer theranostics: integrated diagnostic and therapeutic platforms (e.g., nanoparticle-based agents, radiolabeled constructs, immunotheranostics) Translational biomedical technologies
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, wait time, abandonment rates, and agent performance. Identifies trends and areas for improvement, using data to make informed decisions around staffing and workflow optimization. Leads a team of