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data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction
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. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS architecture and electric mobility systems.
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, telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the design, prototyping and deployment of IoT solutions for environmental and energy applications. Solid knowledge
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in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course
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for data science (Python, R, SQL, PostGIS, GeoPandas, etc.). Knowledge of urban models and spatial analysis tools (urban growth models, accessibility, change detection, etc.). Ability to work with
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separation, or membrane processes. Strong knowledge of ion transport mechanisms and membrane behavior. Familiarity with analytical tools Skilled in setting up experimental systems and troubleshooting
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proven track record of research publications in reputable peer-reviewed journals. Exceptional communication skills aligned with UM6P's emphasis on knowledge dissemination and impactful outreach
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, curious, autonomous, and open-minded person. A proven track record of research publications in reputable peer-reviewed journals. Exceptional communication skills aligned with UM6P's emphasis on knowledge
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in Computational Biology. The candidates should be highly motivated and have a Ph.D. in computational biology or any related field, and a good knowledge of molecular biology. The candidate will be part
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. Capacities in co-supervision and coordination of masters and PhD level students Proven ability of working with team members and PhD students to help build their research skills and knowledge and to support and