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, acute kidney injury transition to renal fibrosis); as well as high-throughput screening strategies to identify small molecular compounds that might serve as novel therapeutic agents in disease using cell
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circular Netherlands by co-creating and designing an agent-based model of the Metropolitan Region of Amsterdam (MRA). The world is facing many ecological and political challenges, many of them rooted in
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, acute kidney injury transition to renal fibrosis); as well as high-throughput screening strategies to identify small molecular compounds that might serve as novel therapeutic agents in disease using cell
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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, cytocompatibility testing and evaluation of cellular response to therapeutic agents, as well as assisting with technical documentation and preparation of scientific publications, in the scope of the Élpis project
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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. • Familiarity with MODFLOW, MATPOWER, OpenDSS, Machine Learning based emulators, or agent-based modeling. • Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems
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or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation of complex socio-technical or organisational systems causal inference, econometric analysis, or formal
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Location: Mohammed VI Polytechnic University (UM6P) Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field: Catalysis,separation Chemical Engineering About UM6P