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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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collaborators. It is expected that the candidate can publish research findings and contribute to the academic community through seminars and conferences. Opportunities for participation in teaching and mentoring
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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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. 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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to refer to and/or communicate with faculty members that you would like to collaborate with. Incomplete applications will not be considered. You may apply prior to obtaining your master's degree but cannot
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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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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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. 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
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fish‑community dynamics and environmental conditions at offshore sites. The successful candidate will join the Observation Technology research group at DTU Aqua and work in a collaborative project with