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researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi
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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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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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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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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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material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods for large-scale cathode material production. Collaborations and Knowledge Transfer: Work