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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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responsible for a range of critical tasks that will shape the project’s success: Localization of malicious payloads: you will develop a multi-layer localization framework that can automatically localize
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project, you will be responsible for a range of critical tasks that will shape the project’s success: Adversarial attack development: you will design and implement problem-space adversarial attacks against
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-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
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Luxembourg. The candidate will focus on fabricating copper/carbon composites for various applications, including lithium-ion batteries. LIST has developed a water-based process that uses functionalized carbon
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to attract, develop and retain women in science 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance Flexible working hours, home working policy and access to lunch