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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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, to further advance the practical, everyday use of the technology. Qualifications Applicants should hold a MSc in electronics, computer engineering, biomedical engineering, Physics, or a closely related field
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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ecology, biology, microbiology, bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Previous experience in computer programming
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https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 13. Questions For specific information about the PhD fellowship, please contact