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approaches, including advanced live cell imaging and in vitro motility assays. The position is based in Michael Way’s laboratory at the Francis Crick Institute. Click here to read more about the Way lab
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Perturb-seq, with our integrative analyses often employing computational approaches such as agent-based modeling to deconstruct gene-regulatory networks and predict system behaviors. As a postdoctoral
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economic models based on technological building blocks in key economic sectors or on macro-economic data to estimate present and future environmental costs. Economic value of AI and its environmental
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certification based on proof of validity and reproducibility. The R&D questions concern : (For P1) "AI as a service" to enrich engineering: modelling of the changing, complex and uncertain environment
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, such as stateful serverless workflows and agentic AI. The project takes a clean-slate approach to cloud infrastructure by exploring new architectures, abstractions, and execution models towards designing
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, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Co-supervise PhD and Master students as well as interns Project management including budget
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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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interests are interdisciplinary modeling (ideally using economic production theory, more specifically Data Envelopment Analysis, system dynamics modeling/agent-based modeling, and/or Artificial Intelligence
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following areas: foundation models, multimodal learning, LLMs, AI agents, or trustworthy AI. Proficiency in Python and PyTorch Responsibilities Research Conduct independent and collaborative research in
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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