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to staff position within a Research Infrastructure? No Offer Description Reference: 554_25_ES_CSSH_RE2 Job title: Research Engineer in Archaeology, AI and Geospatial Analysis (RE2) About BSC The
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Leonardo. The successful candidate will play a crucial role in developing and optimizing machine learning workflows for large-scale environmental data analysis, contributing to the creation of robust and
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engineers that will support the interpretation and analysis of the emission results obtained and the technical development of the tools. Key Duties Update and development of the databases underlying
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computational skills. The selected candidate will contribute to the design, development, and application of bioinformatic tools for large-scale genomic data analysis. Specifically, the role involves implementing
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selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases: Curriculum Analysis: Evaluation of previous experience and/or
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process The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases: Curriculum Analysis: Evaluation of previous
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Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points Interview phase: The highest-rated candidates