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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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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
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packages, and programming skills in PHP and Python. Physical Demands and Work Environment Special Conditions Clean Driving Record. Posting Details Posting Number 26ST0561 Posting Open Date 03/23/2026 Special
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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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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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) • Solid programming skills (Python, PyTorch or similar) Highly valued: • Knowledge of one or more of: federated learning / distributed systems, privacy-enhancing technologies, cryptography, cybersecurity
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, statistics, computational biology, or a related field. • Proficiency in one or more programming languages, including but not limited to Python, R, C++, Stan, etc. • Excellent written and oral
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Questionnaires, Body Weights). · Data analysis and visualization skills (Power BI, Excel, R, Python, etc.). · Previous interdisciplinary work and communication within a comprehensive high-performance environment
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básica en análisis de datos. Programación en Python. Conocimiento de modelos de machine y deep learning. Nivel medio de inglés. Secondary school diploma, vocational training (FP), or Bachelor’s degree