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Field
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develop intelligent equipment for plant phenomics. B. AI Engineers: 5 Positions Responsible for extracting and managing various types of corpus data and machine-generated data to ensure a stable data supply
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of Researchers (Charter and Code). Please, check out our Recruitment Policy The role We are recruiting a bioinformatician to turn experimental biological data into reliable analyses that guide research decisions
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technologies, ensuring reliable data processing, quality control, integration of new technologies, and reproducible analysis. The successful candidate will act as a liaison between the CRG Genomics and
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: learning theory, approximation theory, high-dimensional probability, information theory, mathematical analysis of neural networks, representation learning, robustness, and interpretability. · Probabilistic
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through the link provided for this purpose in the External Calls section of the IRBLleida website, using this Form . For further information, please consult the Guidelines for the Prioritization Process
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proteins. The role involves variant library design, library generation, selections in human cell lines, DNA sequencing library generation and data analysis. About the lab The focus of Lehner lab is using
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/MS workflows, spectral library searches and data curation. Search the scientific literature for suitable protocols and systematically test promising approaches to improve sample preparation. Learn
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related field. Knowledge: Surface/contact potential, dielectric and polarization measurements, thin-film physics and data analysis. Essential research profile: Applications will be considered only from
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needs or requirements, and any other information relevant or helpful for us to consider. Curriculum Vitae: Please include a list of your peer-reviewed publications, any major prize/award and patents
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control, proximity engineering and quantum transport. Analysis and interpretation of experimental data. Presentation of results at international conferences and preparation of scientific publications