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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
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extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
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science applications Computational Atomic-scale Materials Design with a focus on materials modeling and discovery with electronic structure calculations and machine learning Luminescence Physics and
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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similar and have substantial experience with machine learning. Experience with generative AI for image is a large advantage, and computer vision experience is a plus. Furthermore, as AI:Xpertise is about
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areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software