Swiss Federal Institute for Forest, Snow and Landscape ResearchAcronym | WSL | Homepage | http://www.wsl.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | Swiss Federal Institute for Forest, Snow and Landscape Research | Child organizations | | Memberships | |
Open OpportunitiesBorehole image logs serve as essential datasets for extracting a wide range of geological features. Traditionally, analysing these logs has involved a tedious labelling process by geological experts. Recently, machine learning has demonstrated remarkable capabilities in image processing. This project focuses on utilizing machine learning model to improve the efficiency and accuracy of detecting and classifying discontinuity features within borehole wall imagery. - Artificial Intelligence and Signal and Image Processing, Geology
- Bachelor Thesis, Master Thesis, Semester Project
| Climate change might lead to novel biotic interactions, such as the ones between plants and herbivores or pathogens. Such novel interactions could profoundly influence how species and communities respond to changing conditions (Wisz et al. 2013, HilleRisLambers et al. 2013, Alexander et al. 2015, 2016). Novel interactions occur if species shift their ranges at different rates following climate change (Gilman et al. 2010). However, the impact that novel plant-enemy interactions will have on species’ responses to climate change is currently unknown.
- Terrestrial Ecology
- Master Thesis
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