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in Ocean Engineering (oceanography), life-long learning courses as well as supervision of PhD candidates, training of Postdocs and mentoring tenure-track early career scientists. DTU employs two
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welcome external lecturers who are interested in co-supervising MSc and PhD students, supporting industrial PhD/researcher applications, and contributing to joint research proposals. Applicants for the post
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written
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journals and conferences in your field. Secure funding for your research area from both Denmark and the European Union. Teach, guide, and supervise BSc and MSc students, as well as supervise PhD students
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languages, and in time are expected to master both. As a formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have academic
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industry is a prerequisite. Experience in teaching and supervision of PhD students, as well as Bachelor and Master students should be listed. Besides research, you are also expected to take a leading role in
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expectations of you You are an experienced software engineer or research developer with a proven track record of delivering software solutions for complex engineering problems. Your qualifications include: PhD
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expertise in microbial strain engineering and are eager to contribute your skills to innovative research and development. Additionally, your CV comprises: A PhD degree (or equivalent) in a relevant scientific
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formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Computer Science, Data Science, Materials Science and Engineering, Chemical Engineering, Environmental Engineering
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Computer Science and a PhD or equivalent within structural optimization. Preference will be given to candidates with experience within large-scale topology and/or shape optimization and HIP based clusters