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and characteristics: Master’s degree in Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence, or a closely related field. Strong programming and system integration skills in
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- contributing knowledge that can help data centers and other high-energy users reduce their environmental footprint. This PhD is embedded in the Clean-Energy Transition Partnership “La-Flex ” with Norwegian
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of employment in the real estate and related sectors. What we expect You will be embedded in the QuiVal community. For your role in research project 3b, we are looking for a PhD student who has: An MSc degree in
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in the Built Environment” (CEBE) donated by the Villum Foundation and will thus be embedded in other research and development activities at SDU and other Danish universities, and it will be
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of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience with embedded systems programming (Preferably) with a strong background in
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with embedded systems programming (Preferably) with a strong background in mechanics or applied mathematics. Preferably, the candidate has experience with: Robotic simulation tools Medical applications
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for integrating heterogeneous data. Knowledge of Graph Neural Networks (GNNs) and graph embedding techniques (e.g., using PyTorch Geometric). Experience working with MS-based proteomics data and/or other omics data
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Compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical internet Quantum embeddings for machine learning
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PhD Student, you will be embedded in a strong research community that is internationally recognized for excellence in research and a strong commitment to interdisciplinary methods and approaches within
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comparable degree at the same academic level). Nice to have (role dependent): Specialization in agricultural/field/industrial robotics, mechatronics, embedded systems, or wireless communication (PhD#1 and #2