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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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Graduation in the area of Computational Chemistry, Material Science, Chemistry, Artificial Intelligence or Physics within 3 years; Have strong research and innovation abilities, and be able to engage in full
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to research grant applications and proposal writing. Mentor PhD and Master’s students in battery materials research. Required Qualifications & Experience: Education: Bachelor's degree in Chemistry, Materials
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Chemistry, Materials Science, Electrochemistry, or a related field. PhD in Electrochemistry, Solid-State Chemistry, Materials Science, or related disciplines. Essential Technical Expertise: Proven experience
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. Support if required, the development of proposals for research funding. Candidate PROFILE: PhD in Organic Chemistry, Polymer Science, Materials Science, or related subject. Expertise in electrochemistry
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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rigor in research studies. Support if required, the development of proposals for research funding. Candidate PROFILE: PhD in Organic Chemistry, Polymer Science, Materials Science, or related subject
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-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be near completion) in materials or chemistry and experience in battery