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Environmental and Planetary Sciences, with experience in scientific computing and fluid mechanics - excellent knowledge of scientific programming (Python, Bash) - experience in Big Data and statistical analysis
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, remote sensing), ideally with experience of large-scale studies (large watersheds, continental, global); strong skills in modeling, massive data management and statistical analysis (R or Python software
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the zebrafish model, in the form of differential equations - would be a plus: experience in parameter sensitivity analysis and information theory - capacity to code in R, Python or Matlab - theoretical knowledge
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. Specifically, we seek to integrate a system developed in the laboratory into a Python-based control interface. Once this is achieved, the goal will be to apply it for frequency-multiplexed measurement and
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the following background: PhD in climate science, physical oceanography, atmospheric science, or a related field. Ideally with experience in ocean carbon analysis Strong programming skills (e.g., Python, Fortran
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of programming languages such as Matlab, Python. Personal skills - Ability to adapt to changing project requirements and willingness to contribute to collaborative research. - Ability to work within a team, with