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material, energy and information flows. In our research group, we are developing the InSEEDS model (Integrated Social-Ecological rEsilient lanD Systems) , an agent-based World–Earth model developed with
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maintain stable associations between host and microbial populations, while mammalian development generates highly constrained spatial patterns from noisy molecular and cellular processes. How such ordered
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/restoration Experience with spatial prioritization approaches and the integration of both ecological and social data using platforms such as Marxan or prioritizr Experience with agent-based ecological modelling
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atlas-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations
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morphology, cell viability, epithelial organization, barrier-related readouts, and model reproducibility across experimental batches. 30% — Tissue processing, histology, imaging, and spatial-omics preparation
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populations; Interfaces between wildlife and equine and poultry farms; Hunting and population control practices; Biosecurity measures. Definition of agents, interaction rules, and spatial scales. Review and co
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antibody-drug conjugates (ADCs), molecular imaging agents, and targeted therapeutics to improve cancer diagnosis and treatment. We combine protein engineering, chemical biology, molecular imaging
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project will develop multi-agent
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integrating RNA and spatial ribonomics data, we aim to gain a deeper understanding of key biological processes and their relevance to major diseases like bacterial resistance, neurodegeneration, and