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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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neurológicos; Cribado y evaluación del párkinson; Machine learning confiable y robusto; intepretabilidad y equidad de la inteligenica artificial; Procesado de señal. Señal radar
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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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neurológicos; Cribado y evaluación del párkinson; Machine learning confiable y robusto; intepretabilidad y equidad de la inteligenica artificial; Procesado de señal. Señal radar. ------------ Biometrics
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postdoctoral researchers. Collaborate with teamwork and team-spirit in the Sustainable Plant Protection Program, fostering collaboration and integration activities. Work in close collaboration with other teams
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through regular peer-reviewed publications, contributions at national and international congresses and supervision of PhD and postdoctoral researchers. Collaborate with teamwork and team-spirit in
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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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: 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