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building on existing and new imaging data obtained by partner groups in the ENDOTRAIN network. The objectives of the project include: Developing reaction-diffusion mathematical description of steroid enzyme
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and bilateral PA and MACS building on existing and new imaging data obtained by partner groups in the ENDOTRAIN network. The objectives of the project include: Developing reaction-diffusion mathematical
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model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate will also design and develop new software and prototype models
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will also design and develop new software and prototype models. Research areas: Computer science, Simulation-based automated synthesis and verification of human physiology models, Artificial intelligence
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processing and analyzing neural imaging data including calcium or voltage imaging. Techniques used in cellular and molecular neuroscience (e.g. optogenetics, cell patching, virus design). Documented experience
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results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two
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methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information