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Python programming and familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX. Experience with cheminformatics tools (e.g., RDKit, Open Babel) and chemical reaction databases (e.g., Reaxys
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to scientific publications and project reporting Candidate Profile PhD in electrochemistry, chemical engineering, materials science, or a related field. Hands-on experience with electrodialysis, electrochemical
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Mathematics, Data Science, or related fields. Strong background in Operations Research. Experience with industrial data processing, particularly in dynamic, real-time environments. Proficiency in machine
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demonstrating scientific skill and effectively collaborating with colleagues from diverse backgrounds, as required in the development of thermal energy storage technologies. Experience in preparing scientific
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the ability to conduct independent research while demonstrating scientific skill and effectively collaborating with a diverse range of colleagues. Experience in preparing and handling scientific manuscripts and
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, or CO₂ capture). Strong knowledge of adsorption isotherm models, mass transport mechanisms, and surface chemistry. Experience in synthesis, functionalization, and characterization of adsorbents
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designing, synthesizing, and characterizing highly catalytic active MOF composites for sensing using fluorescence-based sensing. Required qualifications: The candidates must have strong experience in MOF
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groups in the field Criteria of the candidate: To be considered for this role, you will ideally have: PhD in organic chemistry, polymer chemistry, colloids science or related field. Relevant experience and
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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scientific skill and effectively collaborating with a diverse range of colleagues. Experience in preparing and handling scientific manuscripts and reports, and showcasing proficiency in scientific