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design the integration and incorporation of various control systems into the existing data-driven workflow. Develop high-quality code in Python to automate characterization and benchmarking. Support
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descriptions, the candidate will develop detailed mode-, simulation, and data-based control strategies to carry out the required production operations, including multiple robots, tools, and sensors. Facilitating
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/research/env_chem_phys/ac/). The centre operates on multiple levels in the value chain, going from fundamental research to education and application of analytical methods, often in collaboration with
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increasing the value of such a hybrid power plant for uncertain renewable energy driven future power systems. You will need to work closely with industry in multiple national and international research
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visualization, and AMR gene annotation Laboratory experience with MinION sequencing Proficiency in R, Python, and Unix (bash/shell) environments Experience working on HPC clusters (e.g., Computerome) Demonstrated