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, world models or simulation-based inference is meriting, as is experience with large-scale training on GPU clusters, open-source software development and applications in the life sciences. Teaching
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. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API). Experience with airborne lidar data processing and canopy height modelling. We will place
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. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API). Experience with airborne lidar data processing and canopy height modelling. We will place
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electrophysiological methods (e.g., patch clamp recording, multiple-electrode array recordings, or OECT recordings) Work with cell studies (in vitro studies) Microscopy of cells and cell clusters (e.g., confocal and/or