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. • Familiarity with agent-based and compartmental models for infectious diseases. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience. Applicants
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plan: The work consists of developing models for the prediction of biological control agents (BCAs), using different approaches: Machine Learning (random forests, support vector machines, lasso), Deep
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develop design guidelines regarding the tokenomics of DAOs in general and for TAIKAI specifically. The selected candidate will be requested to: Create a basic agent-based model that simulates how users will
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mathematics) or should be close to submitting their PhD thesis. They should also have experience in handling longitudinal data and conducting microsimulation or agent-based modelling. Good communication and
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in the CV; b) Background and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information available in the cv and
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are seeking a Postdoctoral Research Fellow with electromagnetic and antenna design experience to contribute to research on next generation communication and sensing systems, agentic AI and passive device
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. Proven expertise in AI/ML for systems or hardware co-design, including use of reinforcement learning, LLMs, graph-based optimization, or agentic AI. Familiarity with security concepts and cryptographic
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in sensitive contexts, such as cybersecurity. Then, based on the knowledge acquired, they should conduct state-of-the-art research on defence mechanisms, methodologies, and tools, assessing
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 1 month ago
on the development of a 4D injectable hydrogels for the treatment of deep wounds; so-called tunnel wounds. The CRMD team will be responsible for the design and development of peptide-based nanocarriers
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: Recommender system for biological control agents against plant pathogens”, “2023.14580.PEX”, ”DOI: https://doi.org/10.54499/2023.14580.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P. through