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- ICN2
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Field
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the validation of industrial prototypes and process scaling, as well as carrying out cross-cutting technical tasks across various projects within the nanomedicine group, operating analytical instrumentation and
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expertise in Systems Biology and Metabolism. Proven experience in analysing large-scale omics datasets (metabolomics, transcriptomics, and metagenomics) and their multimodal data integration. Advanced
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expensive) drugs. DESCRIPTION: This project proposes the development of an AI-driven computational pathology framework to discover biomarkers from large-scale datasets of cancer patients with clinical
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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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and implement experiential and data-informed learning methodologies, including simulations, venture creation frameworks, and multi-agent learning environments involving entrepreneurs, investors, and
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to high-frequency financial time series to characterise the temporal acceleration of directional information flows preceding critical episodes. Quantify scale invariance and power-law signatures
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record in leading journals - Access to rich longitudinal and multi-source datasets - Mentorship and support for career development and academic progression Why Join Us? This position offers an excellent
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to have Experience with massively parallel reporter assays of any kind Experience with studying mRNA turnover on a transcriptome-wide scale Background in RNA biology, translational control or related fields
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, skills and responsibilities and aligned with the Collective Agreement pay scale. Contract type: Technical and scientific activities contract linked to project activities What can we offer? Incorporation
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with large-scale research infrastructures, such as synchrotrons, is an advantage. Personal Competences: Strong problem-solving skills and the ability to work independently as well as part of a