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in a relevant engineering field, experience in programming and interest in applying AI tools in electromagnetic modeling. In particular, experience with or interest in some of the following are
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calibration routines for photoacoustic and optical aerosol measurements. The work combines hands-on instrumentation, laboratory experiments, uncertainty analysis, programming and scientific data analysis
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-resolved measurements of their bidirectional reflectance distribution function (BRDF). The work combines optics, precision measurement, surface characterization, programming and quantitative data
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developing, testing and validating new traceable calibration routines for photoacoustic and optical aerosol measurements. The work may also include experimental design, uncertainty analysis, programming
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related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used for Deep Learning (PyTorch or TensorFlow). Ability to work using multiple Deep Learning
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a related subject area, preferably with some background in molecular dynamics simulations (e.g., GROMACS) and at least basic knowledge of programming (e.g., Python). The demonstrated ability to
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simulations (e.g., GROMACS) and at least basic knowledge of programming (e.g., Python). The demonstrated ability to develop simulation or analysis tools, to design de novo proteins, or to apply machine
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science, data science, statistics, systems biology, or another relevant discipline Strong programming skills in Python and/or R Demonstrated experience developing data-analysis pipelines, software tools