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Field
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modelling and numerical relativity. The group comprises PI Alicia Sintes, a further ten faculty members and a large number of post-doctoral researchers and PhD students. The group is a member of the IAC3
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/Qualifications - Demonstrated expertise in advanced statistical techniques, such as: Multilevel modeling (HLM, mixed-effects models) Longitudinal and panel data analysis Structural equation modeling (SEM) Causal
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. The QML-CVC team (https://qml.cvc.uab.es/ ) is part of the Computer Vision Center at the Universitat Autònoma de Barcelona; the CVC is a center with over 150 persons working machine learning and computer
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cancer metabolism, with particular expertise in the study of tumor metabolism, as well as proven experience in the establishment, culture, maintenance, and characterization of tumor organoid models and
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cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork and
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites
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vitro biofilm models of clinically relevant, antibiotic-resistant bacteria. Quantify the bactericidal activity of a library of PSC compositions against planktonic and biofilm-grown bacteria, using time
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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment
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studies in mouse models of disease. This role offers a defined period of advanced, mentored training, providing the opportunity to deepen expertise, contribute to high-quality research projects, and
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funded by MICIU /AEI /10.13039/501100011033 Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1145