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described below? Are you our future colleague? Apply now! Education The candidate should have a PhD degree in Chemistry, Chemical Engineering, Electrochemistry or related fields. Experience and skills
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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reactions. We welcome applicants from diverse backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate
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situ/operando experiments and associated cell design is desirable. Familiarity with one or more of the following techniques is highly desirable: X-ray and neutron diffraction, computational chemistry
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situ/operando experiments and associated cell design is desirable. Familiarity with one or more of the following techniques is highly desirable: X-ray and neutron diffraction, computational chemistry
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disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and
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of nitrides, along with Raman spectroscopy measurements. This programme of research will be conducted in collaboration with researchers from the University of Bayreuth (Germany), the Commissariat à l’Énergie
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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Chemistry and Biochemistry, and Graduate Degrees at the Master's and PhD level. Our undergraduate program provides training for students planning careers in the chemical and biological sciences, and also for
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In