Objectives: Provide students with basic workflows, platforms and tools to increase reproducibility at all scientific levels.
Topics: Why reproducibility in science is important; Working with Github; Data processing workflows to maximize reproducibility; Notebooks (R and Jupyter); Manuscript and data repositories.
More information available here.
This course aims at enabling the participants to use different methods to measure the impacts of pollutants on ecosystems.
How to predict the three-dimensional structure of nucleic acid and proteins from their sequence and use the acquired knowledge to improve or create new methodologies in molecular biology research and diagnostics?
The 22nd in the series of triennial conferences which bring together the Particle and Nuclear Physics communities.
Welcome to an unique silicon for photovoltaics event in Lisbon!
