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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
Profile Recognised Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 16 Dec 2025 - 17:00 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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) Based on the score of their academic qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury
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models (e.g. agent-based, network-based, or hybrid) to study the dynamics of complex AI-driven systems; Conducting simulations and scenario analyses to explore non-linear effects, feedback loops, and phase
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; The prototype will analyze the student's interactions with the study material and based on this analysis, the agent can, for example, present the same information in different formats, or adjust the level of
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Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Ireland Application Deadline 31 Dec 2025 - 17:00 (Europe/Dublin) Type of Contract Temporary
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microscopy and in vivo modelling of cancer. This will be a collaborative project jointly supervised by Stephen Tait and Ed Roberts. You will join a young, dynamic interdisciplinary research team, based withing
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stem cell-derived cellular models for human disease. The successful candidate will measure the effects of environmental factors, including drugs, pollutants, and infectious disease agents, in cellular
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structuring, and model-guided engineering that couples genome-scale and agent-based models with iterative lab-to-field scaling. Embedded in reactors, wetlands, filters, or living materials, these engineered
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- College of Science About the Opportunity THE SEARCH Northeastern University - renowned for its innovative and entrepreneurial model of education and research - welcomes applications and nominations
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progressed capabilities towards exploiting zero-day vulnerabilities. Frontier models show promising performance when combined with a focused knowledge base and multi-agent architectures. However, in most cases