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Field
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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theory, and statistics. Algorithm Development: Ability to design and optimize AI/ML models for neuroscience. Scientific Writing & Communication: Ability to publish research and present findings. Basic
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understanding of the interactions between communication, sensing, control, and decision-making in autonomous robotic systems. Experience in developing algorithms for robot navigation, path and trajectory planning
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), machine learning algorithms, and perception methods can improve the autonomy, robustness, and precision of robotic manipulation in challenging environments. The project lies at the intersection of control
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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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corrosion detection in metallic structures. The position focuses on the development, training and validation of artificial intelligence algorithms for multispectral image processing, with the objective
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks
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/proteomic/clinical.]; data management and analysis solutions that assist in storage, investigation and dissemination of large data sets. Works with research team to develop new algorithms to support studies
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relationships between them. Possible directions for the project include (the final scope will be developed together with the candidate, and it is not necessary to cover all topics): Group fairness: developing and