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documentation (reports and specification notes).; - Develop simulation models (e.g., agent-based/spatial) of animal movement and pasture dynamics, calibrated from real data.; - Integrate ML forecasts (meteorology
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multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas is a strong plus; Experience developing ML-based optimization approaches is a strong plus; A strong publication track record is
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. Expertise in Large Language Models (LLMs) and related frameworks (e.g., LangChain, Transformers) Proficiency in prompt engineering techniques for optimizing LLM performance Strong understanding of agentic AI
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new findings about the labor market. 2. Advanced computational work involving coding heterogeneous agent models and conducting estimation of key model parameters to match themoments in the data and test
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-focused. It does not involve application-level SQL development, query rewriting, or logical data modeling. Key Responsibilities: Software Lifecycle: Install, configure, and patch RDBMS binaries (Oracle
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 11 days ago
microenvironment, and improves CAR-T cell efficacy in preclinical models. The SPECIFIC AIMS of this project are: 1) to determine the impact of PSGL-1 blockade on the immunophenotype and transcriptional programs
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virulence and host resistance, as well as characterizing microbial biocontrol agents. The successful candidate will employ resistance screening of hosts, transcriptomic and genomic profiling to compare
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of the energy sector, aligned with the principles of Industry 4.0 and the RAMI4.0 reference model, through a collaborative and interoperable solution based on Multi-agent Systems and Asset Administration Shells
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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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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised