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algorithms using artificial intelligence for the implementation of cognitive autonomous robots. Where to apply E-mail ricardo.sanz@upm.es Requirements Research FieldEngineering » Industrial
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. Development and experimental validation of control algorithms in a laboratory environment. Communicate and disseminate research results through high-quality scientific channels including high impact scientific
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Learning codes using high performance computing (HPC)” Specifically, the candidate will carry out research tasks for the design, implementation, and evaluation on HPC systems of parallel algorithms in
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model
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algorithms to develop intelligent resource detection models. This position is funded under the HUNOSA-25-2 project and offers a unique opportunity to contribute to cutting-edge research in planetary science
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models and reconstruction algorithms. Develop or adapt scripts (e.g. in MATLAB, Python) to facilitate data analysis workflows. Prepare scientific reports, publications and presentations to disseminate
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circuit boards and solder components. Perform programming of PLCs, single-board computers and microcontrollers. Integrate sensors and actuators with control algorithms to implement a control system. Send
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Learning algorithms to identify gene content profiles that may underpin relevant phenotypic traits in existing eukaryotic species and their ancestors, and to explore the role of horizontal gene transfer in
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, and WINC projects, focusing on quantum error correction, quantum machine learning algorithms, and other related topics, as well as contribute to research efforts in other CBA-N3Cat group projects