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Employer
- Institute for bioengineering of Catalonia, IBEC
- ICN2
- BIOGIPUZKOA HEALTH RESEARCH INSTITUTE
- Computer Vision Center
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- ISGLOBAL
- Instituto de Neurociencia Avanzada de Barcelona
- Josep Carreras Leukaemia Research Institute (IJC)
- Universitat de Barcelona
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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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-driving laboratories or foundation models for biological data. A background in cancer biology or immunology. We Offer: Number of available positions: 1 Starting date: December 2026 Working conditions: Full
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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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/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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. Alejandro Vaquero. RESEARCH DESCRIPTION The Chromatin Biology Laboratory, led by Alex Vaquero, is internationally recognized for its expertise in studying cellular response mechanisms under stress conditions
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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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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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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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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