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atmospheres and detectability studies Model development of 3D stellar atmospheres Applications of machine learning and AI to exoplanet data analysis Biomarkers and habitability of Earth-like planets Where
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Experience in machine learning techniques Postdoc 3: Experience in the computation and analysis of hydrodynamic cosmological simulations of galaxy formation and evolution Experience in simulations
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, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics, simulation, cloud environments (Kubernetes type, Docker-compose, virtualization, etc.), 3D environments
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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with the computer equipment and ergonomic material you need to work both from home and on site at the UOC. You'll have training possibilities to continue your professional development. You'll finish work
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3 Sep 2025 Job Information Organisation/Company Universidad de Alicante Department University Institute for Computer Research Research Field Computer science » Other Researcher Profile Other
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causal modelling. Provide methodological and analytical support to projects aimed at personalised and predictive medicine. Application of artificial intelligence: Provide support in AI and machine learning
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dedicated to discovering and refining the core mechanisms that will enable machines to learn continuously, make robust decisions in complex environments, and evolve autonomously. Key research directions
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, car license leasing, supplementary medical insurance, and entry-exit convenience. Actively assist in processing residence permits. (II) Postdoctoral Researchers 1. Salary and social security: Pre-tax
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also pursues five key scientific research directions: brain-computer interfaces and intelligent systems; brain decoding and primate models; medical devices and medical equipment; intelligent medicine and