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- Institute for bioengineering of Catalonia, IBEC
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. Participation in the cannulation and extraction of porcine organs from animal models, following established research protocols. Support in training in the extraction and cannulation of porcine kidneys and livers
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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experiences (WP2). Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research FieldEngineering » Civil engineeringEducation LevelPhD
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these processes. The successful candidate will work with animal models and clinical samples and will apply a range of cutting-edge techniques, including flow cytometry, 3D microscopy and transcriptomic analyses
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of resistance to targeting therapies (antibodies, and antibody-drug conjugates) integrating clinical data, 3D cancer cell models, high-throughput approaches and co-culture systems. The successful candidate will
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distribution, and therapeutic efficacy in joint disease models. Technology Translation: Drive the translation of the nanomotor platform from preclinical research toward clinical application. Data Analysis
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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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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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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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the highest international impact in the field of computer vision. It also promotes the transference of knowledge to industry and society. Computer vision is an exciting research area and an omnipresent