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and tumor-microenvironment interactions in various cancer models and associated toxicological studies. This part of the project focuses on developing cancer models; therefore, we are looking for a
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
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intelligence is available at the Bernoulli Institute of the University of Groningen in the Netherlands. The position is situated in the multi-agent systems group as part of the Hybrid Intelligence Centre, under
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engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based surrogate model discovery are strongly
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary
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Harry Nguyen and Prof Dirk Pesch in UCC and aims at creating an agentic AI based UWB RF sensing system for localisation, fall detection and vital sign monitoring. The recruited researchers are expected
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an agentic AI based UWB RF sensing system for localisation, fall detection and vital sign monitoring. The recruited researchers are expected to collaborate with the industry members of the project team outside
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. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary