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-matter interactions for applications in sensing, optical communications, and quantum technologies. The scientific environment at our department is vibrant and highly collaborative with world-class
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Sustain and DTU FOOD), as well as two Departments at NTNU (Chemistry and Biology) will supervise and integrate the PhD fellow into several research communities. There will be an enhanced focus
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analysis; experience with multivariate data analysis is considered an advantage. Excellent communication skills in both written and spoken English. Flexibility, self-motivation, and the ability to work
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advantageous. A high motivation to advance clean energy technologies. Excellent teamwork and collaboration skills to perform in an international consortium. Strong communication skills in both written and spoken
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simulation and modelling tools In addition, we look for a candidate with strong communication and collaboration abilities as well as excellent problem-solving and analytical skills that have been demonstrated
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is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in
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RISC-V ISA. Your project will involve developing and verifying time-predictable on-chip communication to support multicore systems and provide a basis for real-time automotive functionalities
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skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in Mechanical, Production, Materials, Industrial or Robotics Engineering
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. Fluency in English (oral and written). Excellent communication abilities, social skills, and independent attitude paired with the ability to network and interact with relevant stakeholders. We envision
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. Publish the new findings in the international peer-reviewed literature Present your research at international conferences and participate in relevant project meetings Communicate effectively with colleagues