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- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Biodiversity Research Institut-University of Barcelona (IRBio-UB)
- FUNDACIÓ ESADE - UNIVERSITAT RAMON LLULL
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- Institut Català de Nanociència i Nanotecnologia
- Kunming Institute of Zoology, Chinese Academy of Sciences
- The Chinese Institutes for Medical Research (CIMR), Beijing
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the Community of Madrid (reference CM/DEMG/2024-011). The project focuses on evolutionary ecology, particularly adaptation and phenotypic plasticity in biological invasions. Main responsibilities Maintenance
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participate in the evolutionary modelling of surfaces by collaborating on the establishment of protocols for the pre-processing, harmonisation and storage of heterogeneous datasets that will feed
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Research Institute (IRBio). THE CANDIDATES: We welcome candidates interested in evolutionary developmental biology, genomics, bioinformatics and evolutionary and population genetics. Applicants must hold
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and in a coordinated manner. This will be achieved by an integrated approach combining virology, evolutionary genomics, epidemiology, diagnostics and AI-based analytical methods. JOB DESCRIPTION
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. This will be achieved by an integrated approach combining virology, evolutionary genomics, epidemiology, diagnostics and AI-based analytical methods. Emerging and re-emerging infectious diseases
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industries. Regenerative business is defined as business activities that enhance and thrive through the health of ecosystems in a co-evolutionary process. It is a novel business approach that aims to go beyond
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assessment tool that computes SOT efficiencies through autonomous numerical modelling and quantum transport simulations, and COMPASS, an evolutionary optimiser that proposes new candidate heterostructures
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fibrosis. Our mission is to leverage our basic findings for enhanced repair and regeneration. Our work therefore carries both basic, clinical & evolutionary implications, and published in top journals
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, an evolutionary optimiser that proposes new candidate heterostructures. The successful candidate will strengthen the theoretical backbone of the project by extending the SOT formalism used by these tools beyond its
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in KIZ, contributing your expertise in evolutionary biology, genetics, molecular and cell biology, ecology, bioinformatics, and/or statistics. Qualifications: Candidates should have a PhD degree in a