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self-learning autonomous robotic systems for reliable operation in extreme environments. Our research strengthens robotic autonomy and resilience, enabling systems to operate safely and with minimal
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personal contact information • Certified copy of diploma (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found
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(Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Interviews can be performed online if needed but physical interviews are preferred. Further information about the PhD
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decision-making for climate/sustainability policy (or related high-stakes domains). Candidates who have successfully completed the ELLIS PhD recruitment process will be strongly preferred. Approval and
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, housing and accompanying family . Additional information about working in Denmark can be found at Work in Denmark . Application and assessment process Appointment as a PhD Research Fellow is for three
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Shortlisting may be used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters
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around building and deploying AI in healthcare. The main case will be automation of anesthetic pre-screenings. Potential auxiliary cases include evaluation of laparoscopic surgery and AI assistance
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prototyping, additive manufacturing and tabletop fabrication processes using non-conventional materials and composites for product development Organizing, planning and executing in vivo experiments on large
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fast operation. The project comprises simulations and design, nanofabrication in collaboration with colleagues, and experimental characterization. Project C: Topology optimization of nanocavity
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and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 18 March 2026 (23:59 Danish time). Applications must be submitted as one PDF file