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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics
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We are seeking a full-time Postdoctoral Research Assistant in Physics-Based Modelling of Advanced Batteries to join the Department of Engineering Science under the supervision of Prof Charles Monroe
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We are seeking a full-time Postdoctoral Research Assistant in Physics-Based Modelling of Advanced Batteries to join the Department of Engineering Science under the supervision of Prof Charles Monroe
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benefits of CPL detection would allow the broad communities of life and material sciences to adopt this facile technology. We forecast a potentially game-changing impact on a global scale that reaches
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in computational surface science, electronic structure theory, computational materials discovery, or machine learning in materials science. Research competence and initiative proven through
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-related demand- and supply-side interventions. As part of these efforts, the successful candidate will be expected to engage with other stakeholders to develop business-science alliances and initiatives
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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materials manufacturing smart infrastructure sports engineering Our department hosts a leading digital manufacturing hub (PrintCity ), with a wide range of equipment that can be used to make mechanical
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential