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Field
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: Collection, analysis and interpretation of experimental data, using statistical software and other methods to guarantee the accuracy of the results. Dissemination and publication: Assistance to congresses
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be a plus. Data analysis, modeling and applied ML experience is recommended, given the need to identify patterns in large-scale behavioral logs. Software reverse engineering (Frida, IDA Pro) experience
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; (ii) image and data acquisition in experimental fluid mechanics, and the use of specialized software such as MatLab and LabView for image / data analysis and instrument control; and (iii) computational
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and bottlenecks, as well as communication requirements. Develop and evaluate quantum computing hardware and software architectures that benefit from the idea of modular, interconnected and possibly
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of the Research Centers in UPM. It brings together the expertise and resources of around 160 researchers working in the fields of Electronics, Communications, Networks, Computing and Software. UPM-IPTC has a
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. Experience with finite element software development. Experience with machine learning and data-driven modelling. Experience with high-performance computing. Previous scientific publications. Qualification
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, analytical chemistry, biochemistry. Proficiency with scientific software and common lab equipment is advantageous. · Professional Experience: Previous laboratory experience is beneficial but not