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causal modelling, multilevel methods, difference-in-difference designs) and/or computational methods (e.g., machine learning, mobile-app methods, computational tracking data). You must have an excellent
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reconstructions, integrating reviewed and newly collected data with machine learning techniques. The primary aim is to identify zones of lithospheric fluid generation and the structures facilitating fluid migration
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between genes. Techniques used will include the construction and validation of large DNA variant libraries, high-throughput pooled selection experiments, bioinformatics and machine learning About the lab
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-services-pons/ ). We are looking for a highly motivated, enthusiastic, empathic person, with passion for research and desire to learn and explore new technologies, aiming at significantly improving her
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Researcher (R2) Positions PhD Positions Country Spain Application Deadline 4 Mar 2025 - 23:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research