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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
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | about 16 hours ago
and genomic characterisation of various disease-causing agents from archaeological remains. The ERC-StG EpidemioCene project will leverage ancient DNA data generated from massive cohorts of ancient
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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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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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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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instruction, class preparation, grading, and office hours. Other duties may be assigned based on departmental needs. Course assignments, including dates, time, and modality, are made by the Department Chair
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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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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 11-month fixed term contract Salary Range: $114,917 - $135,932 per
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g