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language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
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; Specific Requirements Having the status of doctoral student; Experience in software engineering, including designing, testing, and maintaining complex code systems (preferred languages: Python, C
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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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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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. 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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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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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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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization