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Geográfica (SIG). - Dominio en modelización estadística de datos y de software estadístico y SIG (R, QGIS/ArcGIS, Python). - Experiencia en la redacción de textos científicos y buen nivel de comunicación
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CIEMAT (Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas) | Spain | 3 days ago
scientific programming skills in Matlab/Python. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available1Company/InstituteCIEMATCountrySpainCityMadridPostal
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tasks would be: Develop and implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and
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bioinformatics such as Python, R, EdgeR, Cytoscape, ggtree, etc., as well as courses in data visualization and web development will be considered. At least 2 publications as first author and more than half a dozen
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and a focus on professional growth and development. Specific Requirements Linux and programming (python and/or other languages) Interest in infectious diseases Team working & love learning Talented and
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imprescindible, se valorará positivamente en el proceso de selección la titulación de Máster y la experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript
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Python. Specific Requirements Extracurricular activities related to photovoltaic energy are desired. LanguagesSPANISHLevelExcellent LanguagesENGLISHLevelExcellent Research FieldTechnology » Energy
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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Innovation) Ability to work in a team Results-oriented mindset Communication skills Programming knowledge in Python or Julia Academic record/transcript Letters of recommendation LanguagesENGLISHLevelGood
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and scored: A. Knowledge of Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0.5 points for every 10 hours of training, up to 5 points for each