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interdisciplinary collaboration • Excellent written and oral communication skills in English • Experience with register-based research and coding/statistical analyses is an advantage It will be considered
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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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accomplishments (in particular quality of thesis, but also publications, code repositories, conference presentations, outreach activities, etc.). Be interested in working in a multidisciplinary and international
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research results, improve the ideas, and test them by implementation Your research will include extending and contributing to various in-house codes, including both high- and low-level programming languages
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accomplishments (in particular quality of thesis, but also publications, code repositories, conference presentations, outreach activities, etc.). Be interested in working in a multidisciplinary and international
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organizations on projects across disciplines - from games to health, learning to robotics, data to code – in an environment designed for collaboration and technology transfer. The overall goal of the SDU