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standards within the relevant field. This includes the ability to produce high-quality, peer reviewed research outputs, such as publications in recognised academic journals and/or contributions to books
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computation. Familiarity with both topics is a definite benefit, but not a strict requirement. The position requires a solid mathematical skill set and the ability to formally analyse and prove properties
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cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery
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qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk
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practice-oriented environments. The ability to navigate these settings is important, as the project involves ongoing interaction with organizations undergoing strategic transition. The successful candidate
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applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https
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methods in practice. This includes the ability to design, implement, and critically reflect on computational approaches such as machine learning models, large language models, and/or advanced data
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scenarios, and analyse the resulting data. You might further engage in qualitative follow-up studies gaining in-depth knowledge about the underlying mechanisms. A central part of your work will be
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, or Python. You will also be able to shape your own research. This includes primary data collection through surveys, or qualitative or quantitative interviews. Working as a PhD student requires the ability