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Field
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online support platforms (e.g., 7Cups), we are developing prototypes that use LLM and conversational agents to deliver scalable, experiential micro-skills training (such as empathy, active listening, and
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of host–pathogen interactions with the development of next-generation sequencing (NGS)-based assays to create advanced tools for detecting pathogens and adventitious agents, thereby improving product safety
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probe flavin chemistry using a powerful combination of approaches: the design of biomimetic flavin models (lumiflavin-based systems), detailed mechanistic studies in solution, and state-of-the-art gas
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demand, or robotic agents to coupled tasks), where interactions and coordination requirements between entities—such as connecting passengers, pooled service requests, customer time windows, and robotic
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developers of Jarvis . Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform feature engineering using
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 12 hours ago
understanding of socio-economic inequalities. (PIs: Gummadi, Cha, Zagheni) As agentic AI integrates human workers into automated workflows, it becomes important to understand the AI-human matching process under
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and fine-tune LLM Agents for hypothesis generation and protocol suggestions. Design and manage a structured, FAIR-compliant knowledge base for materials discovery. Contribute to the development and
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pipeline for predicting human pathogenicity based on bacterial genomes, something that has recently been expanded using more novel AI-techniques. There is, however, a need to further expand this to also
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) Research Experience: Relevant research experience in related problem domains, or research experience in scheduling, routing, and multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas