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Field
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(SGB) for genomic prediction. The goal is to improve SGB’s performance under data contamination, building on the robust random forest developments from Task 2. This includes investigating robust
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requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master’s in Informatics Engineering. Work plan: The work consists of the development and implementation
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, including the development of the necessary methodologies or algorithms Where to apply E-mail ap.seiffert@upm.es Requirements Research FieldEngineering » Biomedical engineeringEducation LevelBachelor Degree
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development. To integrate the image processing pipeline in a modular way, building on algorithms developed by your colleagues. To optimize performance and throughput and use software engineering best practices
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related to staff position within a Research Infrastructure? No Offer Description In the present job offer, at the interface between nano and neurosciences, we will develop a new generation of bioelectronic
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developed by the project partners will be based on two key technologies: machine learning algorithms that generate artificial yet realistic data points (synthetic health data) and secure multi-party
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optimizations, such as new data caching algorithms. Develop a prototype that integrates the optimizations and experimentally evaluate the prototype.; Integrate the optimizations with a new modular and flexible I
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that provides AI-based suggestions. The work will consist in the improvement and evolution of previously developed models, as well as interacting with project partners to integrate algorithms and conduct field
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; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - develop new modules to enable the simulation and/or experimentation of emerging wireless
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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies