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Field
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- Experiencia en desarrollo y programación de red con lenguajes de alto nivel tales como Python, JavaScrit/Note, PHP. - Experiencia en bases de datos relaciónales como MySQL y no relacionales como MongoDB. Se
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(Python, C) and computer-aided omics approaches (transcriptomics, RNA imaging), as well as pathway modeling, are highly desirable. Specific Requirements Microscopy (live and fixed tissues); computer-aided
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or Python (data management, statistical modelling, visualisation, and reproducible workflows). Excellent English (written and spoken); Spanish and/or Catalan are an asset, and additional European languages
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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." Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-research-s… Requirements Research FieldEngineering » Electrical engineeringEducation LevelMaster Degree
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to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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communication tasks of the research results derived from the project. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research FieldEngineering
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mandatory) Interés en modelos generativos (difusión, flows, VAEs, etc.) / Interest in generative models (diffusion, flows, VAEs, etc.) Competencias de programación en Python / Programming skills in Python
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or Computational Biology or similar. Experience: Experience in bioinformatics, biostatistics, or biocomputing (with verifiable knowledge of R and/or Python programming). We are looking for a candidate with the
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Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources