Sort by
Refine Your Search
-
will perform reliable recognition in the wild. Tasks: Obtain training data for bats and other animals, from existing sources, including working with others to facilitate open publication of datasets
-
for designing and optimising experimental protocols. These protocols are aimed at stimulating specific Pattern Recognition Receptors (PRRs) on FDCs to augment their activation, viability, and overall
-
components: Machine-learning development – creating image recognition models to identify photographed butterfly specimens, integrating unidentified samples with validated references in collaboration with
-
development – creating image recognition models to identify photographed butterfly specimens, integrating unidentified samples with validated references in collaboration with taxonomic experts. Model
-
influential ranking lists. The Faculty of Science and Engineering (FSE) is the largest faculty within the University, offering first-rate education and research in a wide range of science and engineering
-
top 100 on several influential ranking lists. The Faculty of Science and Engineering (FSE) is the largest faculty within the University, offering first-rate education and research in a wide range of
-
the European BIodiversa+ funded project METAPLANTCODE Harmonizing plant metabarcoding pipelines in Europe to support monitoring activities. This consortium encompasses partners from 10 European countries
-
within the University, offering first-rate education and research in a wide range of science and engineering disciplines. The mission of the Stratingh Institute for Chemistry is to perform excellent
-
plays in self-recognition, interactions with herbivorous insects, and responses to pathogens. Additionally you will start a new project studying the role of GLVs in promoting plant fitness through