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Field
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Research FieldArchitecture » OtherEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelExcellent LanguagesSPANISHLevelBasic LanguagesARABICLevelBasic LanguagesOTHERLevelMother Tongue Additional
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. The position includes implementing a longitudinal study in glioma patients to identify natural speech markers predictive of postoperative prognosis, analyzing functional and structural brain data, and preparing
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do not have Spanish nationality must have knowledge of Spanish accredited with an official certification of level C1 or equivalent. Those people whose mother tongue is Spanish will be exempt from
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processing and computer vision algorithms for biodiversity and oceanography. Speech and language technologies. Professional Experience: In applied research in conservation and marine science, at least 6 years
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applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in five programs: Climate, Air Pollution, Nature and Urban Health; Environment and
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. LanguagesSPANISHLevelMother Tongue LanguagesENGLISHLevelGood Research FieldEngineering » Computer engineering Internal Application form(s) needed FORMULARIO SOLICITUD DE PARTICIPACION ESPAÑOL E INGLES_1.pdf English (913.59 KB
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applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in five programs: Climate, Air Pollution, Nature and Urban Health; Environment and
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. Evaluation of the candidate's knowledge relevant to the position. Until 3 points LanguagesENGLISHLevelGood LanguagesSPANISHLevelMother Tongue Research FieldTechnology » Micro-technologyYears of Research
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) Item 02: High level of oral and written English (punctuation: 10) Item 03: Experience in characterization of polymers of natural and synthetic origin (punctuation: 30) Item 04: Experience in determining
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), SQL, Matlab, JavaScript. Software: AutoCAD, Inventor, Spring, React, Docker, Kubernetes, Anaconda, AWS. Specific Requirements Educational Requirements: Path Planning using neural networks: Deep Learning