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wellbeing, planetary boundaries, provisioning systems, machine learning, and/or input—output analysis Motivation and initiative to work both independently and as part of an interdisciplinary team Excellent
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, Python y Machine learning Specific Requirements Se requiere grado en Biotecnología y experiencia en análisis de datos transcriptómicos y metabolómicos y conocimientos en estadística. Es imprescindible que
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environments You have proven experience in applying statistical methods to large datasets. Familiarity with methods in machine learning and/or statistical inference is desirable but not essential Experience in
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resolution Tasks: application of climate emulators and hybrid models based on machine learning to optimize the computation of climate simulations. Analysis of the climate variability at different time scales
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machine learning techniques. Where to apply Website https://iac.sede.gob.es/procedimientos/portada/idp/390/language/en Requirements Research FieldAstronomy » AstrophysicsEducation LevelPhD or equivalent
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 3 months ago
at least one of these areas: method development, imaging data analysis and deep learning models, multimodal data integration, machine learning models to predict therapy response, and/or explainable AI
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, QGIS. Programming: R, Python and Matlab. Simulation: Aimsun , Vissim , Visum , SUMO, etc. Machine learning (optional). Organizational Skills: Self-employed. Writing of scientific documentation and
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models · Collate and store accurate records using paper and computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
Personal Competences: Demonstrated competitive ability in using DFT simulations, and machine learning techniques and DFT. Demonstrated strong coding skills and a passion for UX/UI design. Summary