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/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
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. Engage in interdisciplinary training to build expertise in both computational and experimental techniques. Play an active role in education and outreach in protein design and proteomics, including
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level equivalent to a two-year master's degree in Electrical Engineering, Computer Science, Robotics, Safety Engineering, or related fields. Approval and Enrolment The scholarship for the PhD degree is
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automation Earth processing Computational fluid dynamics Numerical process modelling Rheology Furthermore, the candidate should be motivated to work collaboratively as part of a team. You must have a two-year
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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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We invite applications for a fully funded 3-year PhD position focused on developing next-generation robotic grippers for biological laboratories. The project combines advances in multi-material 3D printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of...
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Job Description The Quantum and Nanophotonics section at DTU Electro is seeking an excellent and highly motivated PhD student to be a part of a program on ‘Symmetry-guided discovery of topological
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon