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intelligence techniques for the analysis of clinical data and microscopy images for various global diseases. Where to apply E-mail mj.ledesma@upm.es Requirements Research FieldTechnology » Telecommunications
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, and sustainable waste management. Data Analysis: Ability to analyse and use data to improve the efficiency and sustainability of logistics operations. Project Management: Experience in planning
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expected to: Set-up, run and consolidate the characterization techniques for PIC materials and platforms, in particular morphological, chemical, structural and interface analysis, developed within
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OMICS (transcriptomics, epigenetics, metabolomics and proteomics) and cell culture will be highly considered when selecting the candidate. Background in computational analysis of the data will be highly
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processing of data on exposure, sensitivity, and adaptive capacity indicators. Contribution to the analysis and interpretation of results and drafting of technical reports. Design and implementation of data
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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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genes of the gut microbiota. Foundational studies for the lab include: Novel insights into the genetic architecture and mechanisms of host/microbiome interactions from a multi-cohort analysis of outbred
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in cryogenics and low temperature physics. - Experience with instrumentation automation and data analysis with LabView and Matlab. - Good writing and presentation skills. - Experience with multiple
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gender-sensitive professional practice” (PID2022-142830NB-I00) by carrying out the following tasks: · Documentary analysis and literature review on gender mainstreaming in social work. · Assistance with
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to improve device autonomy. Tasks related to WP6: Bench and field tests, validation, assessment - Develop and apply artificial intelligence (AI) algorithms for the analysis of large volumes of biometric data