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competitions or research projects will be an advantage; Experience in software engineering, including designing, testing, and maintaining complex code systems (preferred languages: Python, C++, or others used in
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- Conocimientos de diseño CAD (FUSION360) - Conocimientos de Python - Conocimientos sobre uso y entrenamiento de redes neuronales Specific Requirements - Bachiller - Experiencia en uso de entornos UNIX
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. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer-reviewed journals and present findings at national and international
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Applied to Neuroscience and Drug Discovery Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiobizkaia/es/Convocatorias… Requirements Research FieldOtherEducation LevelPhD
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/ researchers and 138 engineers and technicians), 46 staff on fixed-term contracts and 102 doctoral students. For more information, do not hesitate to consult the IPHC website: http://www.iphc.cnrs.fr
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 9 days ago
-driven AI workflows (e.g., task decomposition, planning, tool integration, validation loops) for real-world research scenarios. Develop and maintain production-quality software (primarily Python) to enable
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the French project BIBLISSIMA+ (https://projet.biblissima.fr ), and the ERC Synergy MIDRASH (https://www.midrash.eu ). The eScriptorium project itself involves North American and European teams and aims
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) Proficiency with SQL and its variants (e.g., PL/SQL, T-SQL, etc.) Proficiency in programming/scripting languages (e.g., Python, Java, PowerShell, etc.) Proficiency in data engineering technologies and tools
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the fundamentals of machine learning, with the ability to use Python or R. Experience working with messy, real-world data sets. Experience working with text, images, or other non-tabular data formats. Pay Range
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching