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the Machine Learning and Artificial Intelligence. Solid mathematical and analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Experience in programming
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-the-loop testing, co-simulation frameworks or real-time validation environments. Knowledge of energy market mechanisms and innovative business models for flexible energy production and consumption will
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-human-centered-computing. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions
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at the department, you will become part of an international research environment focusing on innovation, knowledge sharing/building, and interdisciplinary collaborations. The Department’s activities are supported by
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-based focus, and continued education and knowledge dissemination. Your work tasks The work is shared between two projects. One project is across the North Sea region, addressing safety-critical water
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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. Substantial knowledge of Danish coastal systems, including key habitats, stressors, and monitoring frameworks Proficiency in Danish is an advantage Ability to work across both DTU Aqua locations (Lyngby and
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administrative staff, and regularly hosts 20-30 guest researchers from around the world. We offer advanced laboratory and workshop facilities, and a collaborative environment that supports innovation, knowledge