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Doctoral Network, we invite applications for up to two PhD positions working on challenging theoretical and practical problems in Safe Machine Learning. Specifically, we are looking for students to tackle
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Requirements: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto_Script, Machine and Deep learning and computer vision. To have
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industrial components. Different alternatives will be explored and analyzed, in the field of machine learning, that allow relevant information to be extracted from the data. Research and develop AI models
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written and spoken English enthusiasm for interdisciplinary research. Desirable skills/interests: signal processing, electronic design, machine learning (the applicant should be proficient in at least one
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between genes. Techniques used will include the construction and validation of large DNA variant libraries, high-throughput pooled selection experiments, bioinformatics and machine learning About the lab
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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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: Brightway2, SimaPro, OpenLCA, etc. Gestió de bases de dades mitjançant SQL o similar. Aprenentatge automàtic (machine learning) i intel·ligència artificial. Llenguatges de programació: Python, JavaScript, R
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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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reconstructions, integrating reviewed and newly collected data with machine learning techniques. The primary aim is to identify zones of lithospheric fluid generation and the structures facilitating fluid migration
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: Machine learning for materials in Energy. Number of positions: 1 Reference: PhD 2025-02 NL Supervisor: Prof. Arjan Kleij / Prof. Carles Bo Project: Computational design of new CO2 fixation processes