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Field
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working on challenging theoretical and practical problems in Safe Machine Learning. Specifically, we are looking for a student to address the following research problem in their PhD thesis: 1
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structural bioinformatics, machine learning, and high-performance computing, we will build the first Human Proteome-Wide Frustration Atlas — a resource to better classify genetic Single Nucleotide Variants
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23 Sep 2025 Job Information Organisation/Company Universitat de Barcelona Department Genetics, Microbiology and Statistics Research Field Biological sciences Chemistry Computer science Mathematics Other Researcher Profile First Stage Researcher (R1) Positions PhD...
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LevelPhD or equivalent Skills/Qualifications DOCTOR EN BIOMEDICINE Specific Requirements A master’s degree related with biomedical research will be positively considered. Postdoctoral experience over five
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processing (computer vision & machine learning) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree
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: Ph.D with postdoctoral experience in chemistry, physics, biophysics, biomedical engineering, nanotechnology, and related with focus in translational (nano)medicine. At least six years have passed since
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) and satellite platforms, and surface energy balance models will be used to obtain evapotranspiration (ET); computer vision and machine learning techniques will also be used to identify and count fruits
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participative digital platform that encourages users to contribute through crowdsourcing, oral interviews, or sharing privately held materials. Implementation of AI and machine learning techniques, including
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Engineering). - Theoretical foundations of 6G RAN and autonomous systems o Proven knowledge of AI-native RAN systems. Indicative skills/experience: - Deep understanding of 5G/6G RAN architecture (O-RAN, NG-RAN
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obtained a University Degree and a Master’s Degree in biomedicine, epidemiology, computer sciences, environmental sciences, biostatistics, or a related discipline within the European Higher Education Area