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, the researcher will be developing control electronics based on Arduino or Raspberry Pi and write the corresponding software, ensuring significant automation and simple user interfaces such that other researchers
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context (i.e., different data source from human to technical, from knowledge to generative AI models). Collaborate with software engineers to integrate the management infrastructure within the Digital Twin
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metal bearing mudstones and carbonates Core logging and sample selection Place results in a 3D context e.g. using modelling software such as Leapfrog Develop a paragenesis from all stage of diagenesis
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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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candidate will have a strong background in bioinformatics, statistics, and computational biology, with demonstrated expertise in statistical and bioinformatics software. The ability to thrive in a
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, electronics engineers, software engineers and application specialists transforms innovative ideas and concepts into cutting-edge instruments. In partnership with leading companies, the group delivers customized