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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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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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systems, robotics, machine learning, computer vision, natural language processing, biometrics, medical imaging, social computing, and AI hardware. CASIA is the first national research institution to carry
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of the European Union or a foreigner with a residence and work permit in Spain. 2. Hold at least a PhD in Physical Sciences or Mathematics or Industrial Engineering or Computer Engineering or
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. • Applicants must have their PhD completed (or near completion) before the contract starts. • PhD degree preferable in Machine Learning, Computer Science, Statistics, Mathematics or related fields or equivalent
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Supercomputing Center Access to a network of top European scholars Job requirements: We are looking for a candidate with a strong background in Machine Learning and sensibility for social and legal issues. More
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. Organizational Skills: Teamwork. Functional Competences: Communication skills. Specific Requirements Educational Requirements: Artificial Intelligence. Machine learning. ExperienceProfessional: In federated
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causal modelling, multilevel methods, difference-in-difference designs) and/or computational methods (e.g., machine learning, mobile-app methods, computational tracking data). You must have an excellent
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | about 2 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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technologies (e.g., remote sensing, UAVs, multispectral imaging). Develop and implement statistical models and machine learning techniques to quantify ecosystem services provided by legumes. Contribute