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them correspondingly for different applications; Evaluate different SiCOI materials; Fabricate SiCOI devices using CMOS compatible processing; Integrate different devices monolithically on SiCOI
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*************************************************************************** Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application (max
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Experience in working at large-scale facilities, e.g., synchrotrons Able to work independently in the laboratory Fluent spoken and writing English Creative problem solving and strategic thinking You must have
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environmental challenges A genuine, long-term interest in pursuing an academic research career in sustainable and regenerative entrepreneurship Excellent written and oral communication skills in English (the
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particular EEG responses, thereby mapping stimulus-response relationships in both space and time. Understanding these dynamic informational patterns is key to revealing how the brain tracks, processes, and
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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analytical skills and a collaborative mindset are essential. Fluency in English is required. The project is funded entirely by the Villum Foundation grant serving to accelerate the green transition
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considered an advantage. Strong communication skills in English, both spoken and written, are also expected. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
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Electro at the DTU Lyngby and Risø campus. You can read more about career paths at DTU here . Selection process Application procedure Your complete online application must be submitted no later than 1
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team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication