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FieldComputer science » OtherEducation LevelPhD or equivalent Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications Experiencia de más de 10 años en desarrollo
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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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of visual analysis techniques. Mastery of tools for qualitative data analysis (MAXQDA, NVivo) and, where appropriate, quantitative tools. Basic computer tools. High verbal and written communication skills in
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. Available to travel, driving license and own car. We offer: Working in a multidisciplinary and collaborative environment contributing to your personal development (knowledge and skills). Stability and
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engineering or a master's degree with access to the doctoral programme. Have been admitted to a UdL doctoral programme. These requirements must be met at the beginning of the selection process
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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
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science degrees Fluency in English Good marks and/or authorship in publications Passionate, proactive, willing to learn and committed Desired: Course of animal handling Experience and knowledge:Required