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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with
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salary per month is 2000 USD. The initial appointment as Postdoctoral researcher will be for one-year renewable depending on satisfactory performance. Applications and selection procedure: Applications
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research and industrial-scale implementation, working on the design of novel cathode compositions, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work with
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research and industrial-scale implementation, working on the development of novel cathode compositions, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work
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relevant fields. Synthesize materials and design water treatment systems tailored to specific needs. Perform chemical and physical analyses to characterize materials in the laboratory. Develop innovative
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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress
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focus on reactor and process design and development. Strong motivation and passion for research in the field of CCUS/decarbonization/Carbon management. Proven ability to perform multidisciplinary research
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on the performance. Interested applicants should submit their online application with CV, cover letter and 2 contacts for recommendation. Applications are open until the position is filled. Guidance from leading
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of molecular data Experience with high performance computing Aptitude for team work, problem solving and collaborative relationships Excellent verbal and written skills in English Organizational dexterity and