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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research
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modelling, ideally with the use of innovative computational methods (e.g. agent-based and predictive modelling, bioinformatics). Relevance of research to human evolution is required. The position has a
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deep learning models (e.g., adapting methods in [6]) based on spatial cellular graphs constructed from these images to predict clinical outcomes. The research will be carried out using two
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the scholarship Canada Impact+ Research Training Awards PHD title: PhD in Chemical Engineering or PhD in Biotechnological Engineering PHD Country: Canada Where to apply Website https://www.abg.asso.fr/fr
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retrieval-augmented generation (RAG) and knowledge-base integration to improve productivity and decision quality in functions such as customer support, sales, marketing, finance operations, HR, and
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, regardless of gender, age, religion, skin color, migration background, disability and neurodiversity. 4 - Offer Are you going to be our new colleague? You’ll be offered a full-time PhD-scholarship, for 12
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reinforcement learning, agent-based modelling and simulation, autonomous decision-making, communication protocols, and applications in robotics, smart grids, and social networks. We consider computer science
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Methods 21, 1063–1073 (2024). https://doi.org/10.1038/s41592-024-02277-8 Docherty, Robert Julian (2019) Improving peripheral nerve regeneration: a multimodal approach. PhD thesis, University of Glasgow
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, immunology, epidemiology, population genetics and mathematical modelling and involve both laboratory-based projects and fieldwork. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time
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, Associate, or Full Professor whose research and teaching advance core AI and ML theory, foundation models and generative AI, reinforcement learning and autonomous agents, hardware and systems for AI, edge and