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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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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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; training in mathematical models in finance, numerical methods for solving models, and their computer programming; Master in Industrial Mathematics or equivalent training. Academic record of the higher
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to (i) understand the very specific challenges of learning from network traffic and (ii) train original AI models that are designed to operate precisely on such data and overcome the identified challenges
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of computer tools: Sequencing Analysis, GeneMapper, SeqScape, GenMap Agilent's Feature extraction V12.0, Cytogenomics 3.0, Torrent Suite, Ion Reporter, Quantum Soft, IGV software (0-5) Office automation
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intelligence. Candidates must have a Bachelor's degree in Computer Engineering or equivalent. It will also be an essential requirement to join the CITIC during the period of completion of the thesis. Additional
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solar energy efficiently. Terrestrial radiative cooling – A natural mechanism for thermal regulation Main Tasks & Learning Areas Fabrication and characterization of nanophotonic structures. Mounting