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Field
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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to apply. Responsibilities include: Algorithm development and/or software design Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration
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the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101311637 Is the Job related to staff position within a Research Infrastructure? No
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: Integrated sensing and communication Cell-free massive MIMO beamforming, and MIMO algorithms Joint optimization of communication and computing resources Preferred qualifications A doctoral degree or an
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in localization algorithms, spearhead energy-aware navigation planning systems development, and oversee real world validation of underwater navigation technologies while mentoring junior team members
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, sustainable, and scalable artificial intelligence technologies. The successful candidate will develop novel algorithms and system-level innovations that significantly improve the energy efficiency
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Overview We are seeking an experienced researcher to develop decentralised swarm mapping and localisation algorithms for underground pipe operations as part of an international research programme
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into broader health informatics systems. Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases. Presents findings in department
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, and tune algorithms and software developments within high-performance computing (HPC) environments. Collaborate actively in a multidisciplinary team environment comprising scientists from energy
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos.Become a part of our team and join us on our journey of research and innovation! Be