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, Python and QGIS Good knowledge of geology and hydrogeology in aquitard-aquifer systems Experience in collaborations with partners from consultancy and public authorities Ability to work both in a team and
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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
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machine learning, statistics, time series analysis or similar field Demonstrated ability to conduct outstanding research with measurable impact Experience with Python, especially related to machine learning
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, ideally in Python. Experience with X-ray or neutron tomography data is a plus. Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help and be
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interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab
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or optimization. Proven experience with programming and data analysis tools. Fluency in Python, including experience writing data analysis scripts and model training code. Experience with scientific computing and