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(especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process
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IoT-oriented databases (e.g., InfluxDB, PostgreSQL, Firebase, etc.). Knowledge of data visualization tools (e.g., Grafana, Tableau, etc.). Personal and organizational skills Ability to solve complex
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written and oral communication skills, with the ability to present complex ideas to diverse audiences. Languages: Proficiency in English and French, both written and spoken. Desired Skills: Teamwork
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; Implement agronomic assay to evaluate the stability of clay-humic complexes under culture conditions and how an intense of microbial activity contributes into the process of stabilization of organic matter
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. Publications: A strong record of publications in international scientific journals. Communication Skills: Excellent written and oral communication skills, with the ability to present complex ideas to diverse
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, analytical chemistry, chemical biology and process engineering. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and
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Area of specialization: Critical Zone is the “heterogeneous, near-surface environment in which complex interactions involving rock, soil, water, air, and living organisms regulate the natural