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- Institute for bioengineering of Catalonia, IBEC
- BIOGIPUZKOA HEALTH RESEARCH INSTITUTE
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- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
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Field
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, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
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certain type of treatment, with potential impact in clinical practice and cancer research. This position is linked to the project BIOEURECA:Next-gen biomarker discovery: foundation models for tissue spatial
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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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biological validations of patterns identified in both cell cultures and tests on animal models. Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiogipuzkoa/es/Convocatoria
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patient-derived leukemia models. Where to apply Website https://careers.carrerasresearch.org/jobs/8041969-vac_54_2026-postdoctoral-rese… Requirements Research FieldMedical sciences » Cancer
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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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/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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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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. 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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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