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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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expected, as well as in designing and running user studies with clinicians. Knowledge of medical robotics will be considered a significant asset, as the developed models will serve as development and testing
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. The work will explore adaptive MAC designs that leverage waveform structure and context information to improve user management, access efficiency, and robustness. A key aspect of the research is the joint
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cutting-edge research on integrated energy system design, extending beyond traditional energy systems to include CO2 management, land-use constraints, sustainable biomass utilization, sector coupling, and
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). Responsibilities and qualifications The research position is part of a project funded by the Innovation Fund Denmark, which seeks to develop digital twin software that will enable virtual manufacturing for 3D
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Ability to design and conduct complex experiments Good interpersonal and communication skills in English for effective teamwork in an interdisciplinary environment Additional valuable skills: Experience
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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, or a related field Strong experience in spatial and/or landscape modelling Proficiency in R and/or Python Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets
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, or a related field Strong experience in spatial and/or landscape modelling Proficiency in R and/or Python Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets