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Field
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: Collaborating with principal investigators (PIs) and other team members to align experimental findings with the overall objectives of the project. -Writing reports and scientific publications: The postdoc will be
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relevant CINBIO PI to ensure the best alignment between the candidate´s interests and CINBIO priorities, before submitting the application. The selected candidates will join the CINBIO staff and be fully
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partners across Europe to create a federated infrastructure for cancer imaging data. The project aims to build a comprehensive Cancer Image Atlas that integrates multiple data modalities, ensuring secure and
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communication and scientific writing skills. • Ability to manage multiple data sources and integrate them into complex analytical frameworks. • Autonomy in planning and executing research tasks Benefits 31.000
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encompasses various in silico modeling techniques to cover the multiple spatial scales, i.e. from molecular detailed to multicellular high-level regulatory networks, up to tissue level finite element models
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physics, which traditionally has relied upon powerful particle colliders, e.g. the LHC at CERN. Axions and axion-like particles (ALPs) are well-motivated dark matter candidates that could solve multiple