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(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
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running on distributed systems; main programming languages and technologies include Python, Numpy, Xarray, and C++. Ensure the data processing framework remains highly performant, scalable, and cloud-native
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ideal for students with strong technical and organizational skills, particularly those with experience in LaTeX and Python programming. Some background in economics is a plus but not strictly required
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to the fields of architecture and engineering. We have developed an open-source python library called AIXD ( https://aixd.ethz.ch/docs/stable/ ) for ML-assisted forward and inverse design. In the framework
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of complex tools or systems. Technical Skills: Excellent programming skills (e.g., Python, C++, or similar). Experience with data management, database systems, and API development. Knowledge of software
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developing or applying methods for micro-earthquake detection, quantification, or catalogue analysis. Programming skills in Python; experience in scientific software development and C++ would be regarded
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skills in MATLAB and/or Python Interest in interdisciplinary research at the interface of physics, engineering, and life sciences Independent, creative, and motivated personality with excellent
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-applications in the field of engineering. You would like to deepen your abilities in the demanding field of production engineering. You have experience programming Python including git. You have a very good
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. Programming, modelling, and data analysis skills in python and machine learning/optimisation libraries/toolboxes support you in contributing to our ongoing software development efforts. Your spoken and written
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, mechanical, or industrial engineering. You are driven by an interest in developing novel theory and methods for solving real-world problems. Programming, modelling, and data analysis skills in python and