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. Functions • Develop code and workflows for systems biology and analysis of proteomic and transcriptomic data, supporting researchers. • Develop AI and deep learning algorithms to facilitate image analysis
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, especially algorithms and computational complexity. Applied mathematics: computational mathematics, statistics and data science, physical mathematics, mathematical and computational biology, biostatistics
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to solve problems in molecular biology, genomics, medical research, and genetics. - Develop databases to compile large amounts of information. - Create data algorithms and specialised software to identify
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23 Jan 2026 Job Information Organisation/Company Universitat Autònoma de Barcelona Department Research Management/Strategic Projects Research Field Biological sciences » Biology History
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to apply Website https://t.ly/I3glk Requirements Research FieldBiological sciencesEducation LevelUndergraduate Research FieldComputer scienceEducation LevelUndergraduate Research FieldEngineeringEducation
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payment for that month). 2.5. Tasks to be carried out: Developing deep learning methods for processing multimodal data and data for analysing temporal information. Developing computer vision algorithms with
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for applications of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December
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of entering into the contract. Applicants must: 2.1. Hold or be in the process of obtaining an undergraduate degree in Biology or in Environmental Sciences (Spanish MECES level 2 or EQF level 6) plus
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of a project in the Reumatology Research group and the following characteristics: Project: Clinical validation of the OPTIBIO algorithm to predict permanence in remission in patients with rheumatoid
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for the development of a project in the Translational and Multidisciplinary Microbiology Research group and the following characteristics: Project: Clinical validation of the OPTIBIO algorithm to predict permanence in