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. **Note: start dates may be flexible. Minimum qualifications: PhD in Chemistry, Chemical Engineering, or related discipline; Strong electrochemistry background (e.g., fuel cells, water electrolysis, etc
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, properties of mixtures, chemical equilibrium, electrochemistry; and introduction to quantum mechanics and spectroscopy. This course is recommended for students in life and health sciences programs
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, photochemistry, electrochemistry, etc) Additional expertise that is desired (but not required): Artificial intelligence / automation expertise • Machine learning to accelerate the discovery of molecules and
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, photochemistry, electrochemistry, etc) Additional expertise that is desired (but not required): Artificial intelligence / automation expertise • Machine learning to accelerate the discovery of molecules and
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technologies (e.g., flow chemistry, photochemistry, electrochemistry, etc.) Additional expertise that is desired (but not required): Artificial intelligence / automation expertise • Machine learning
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knowledge of machine shop tool usage, forklift. Assets : Basic knowledge of control systems. Basic knowledge of electrochemistry. Basic experience with advanced software programing tools, such as LabView, VB
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molecules Screening electrocatalytic conversion Analytical chemistry and separation method development Chemical reactions and analytics GLP formulation skills Electrochemistry Organic synthesis methodology
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of materials and molecules · Screening electrocatalytic conversion · Analytical chemistry and separation method development · Chemical reactions and analytics · GLP formulation skills · Electrochemistry