The goal of this course is to familiarize researchers in the life sciences with state-of-the-art deep learning techniques for microscopy image analysis and to introduce them to tools and frameworks that facilitate independent application of the learned material after the course.

This course will enable the participants to obtain and interpret high quality microscope data, to understand and assess potential artifacts, to perform quantitative optical measurements, and to generate digital images for documentation and analysis that accurately present the data.

A comprehensive and intensive course in light microscopy for researchers in biology, medicine, and material sciences.

The STAMPS course promotes dialogue and the exchange of ideas between experts in environmental and microbiome analysis and offers interdisciplinary bioinformatics and statistical training to practitioners of molecular microbial ecology and genomics.

This course addresses the need for more research in the area of fungal diseases as our understanding of the basic pathophysiology of fungal disease lags far behind our understanding of bacterial, parasitic and viral diseases.

The goal of the course is to teach professors, postdocs and advanced graduate students how to discover, cultivate, and isolate diverse microorganisms catalyzing a breadth of chemical transformations, as well as how to perform molecular and computational analyses relevant to their study.

This course is at the forefront of new tools — molecular, computational, biophysical — as it prepares students to tackle emerging biological questions.

A unique course for advanced graduate students, postdocs, and independent investigators, who are seeking in-depth training in modern approaches to the study of protozoan parasites and parasitic worms.