About the PhD

a highly multidisciplinary training for the study of environmental complexity

The course aims at fostering the interdisciplinary integration of Natural Sciences, including Physics, Biology and Earth Sciences, with Veterinary and Agricultural Sciences, Medicine and Pharmacology. PhD students will be trained in the study of past and present biotic and abiotic processes that shaped our environment, taking into consideration past and extant interactions and functional relationships, while making full use of ecological, evolutionary, geological and geomorphological approaches.

PhD students will receive specific training in broadly diverse field and laboratory techniques. These will range from geological and ecological sampling, to advanced microscopy techniques and biochemical and molecular assays. They will also receive training in Geographic Information Systems (GIS), statistical modelling and bioinformatics.

 

 

Broadly, areas of interest include the following

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The course Hands-on introduction to machine learning and deep learning for biology by G. Formenti & A. Giani is about to begin.

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