Tag: summer-school

2024 Summer School in Advanced Statistics for the Life Sciences

Posted by on in Intensive classe, Training events

The Summer School in Advanced Statistics for the Life Sciences, on the theme of Hierarchical Models, will take place from April 29 to May 3, 2024 at Jouvence, in Mont-Orford National Park, Quebec. Hierarchical models in life sciences refer to statistical frameworks that account for the nested structure of data often encountered in biological research, where observations are organized within multiple levels of hierarchy such as individuals within populations, or repeated measures within individuals. These models allow for the incorporation of both within-group and between-group variability, providing insights into the underlying biological processes while appropriately addressing the complex dependencies within the data.

The intensive course is presented by Pr. Guillaume Blanchet, professor at Université de Sherbrooke and academic member of BIOS2, and Dr. Andrew MacDonald, research professional for BIOS2, CREUS, and QCSB. The course aims to introduce hierarchical models from both a theoretical and practical point of view. Everything will be done using R with an introduction to Stan. Bring your dataset!

Registration

Anyone interested in taking part in the summer school must complete this form by March 20, 2024. Official registration (admission and payment of registration fees) will take place during the week of March 25, 2024

More information and registration: https://www.usherbrooke.ca/ecoles-de-pointe/en/biology/2024-hierarchical-models-life-sciences

2024 Summer School in Biodiversity Modelling

Posted by on in Intensive classe, Training events

The 2024 edition Summer School in Biodiversity Modelling will be on the theme “Indicators to monitor biodiversity changes“. Biodiversity indicators are metrics used to measure and assess the health, diversity, and distribution of species, ecosystems, and genetic variability within an environment. These indicators provide valuable insights into the status and trends of biodiversity over time, helping to inform conservation efforts, policy-making, and sustainable development practices. By tracking these indicators, scientists and policymakers can monitor changes in biodiversity, identify areas of concern, prioritize conservation actions, and evaluate the effectiveness of conservation strategies.

The main objective of the 2024 Summer School in Computational Biodiversity Science will be to develop a report of the current state of biodiversity for Canada, based on the most recent science on biodiversity indicators and using state-of-the-art technologies in data science. 

Presented by Professor Dominique Gravel (Université de Sherbrooke) in collaboration with various leading scientists in the domain, the intensive course will take place from May 13 to 17, 2024 at Jouvence, in Mont-Orford National Park, Quebec.

Date: May 13 to 17, 2024
Location: Jouvence Resort in Orford, Quebec
Registration fee: 600$ (shared room) 800$ (private room)
Price includes course registration, accommodation and meals.

Registration

Anyone interested in taking part in the summer school must complete this form by March 20, 2024. Official registration (admission and payment of registration fees) will take place during the week of March 25, 2024

More information and registration: https://www.usherbrooke.ca/ecoles-de-pointe/en/biology/2024-biodiversity-modelling

Calcul Québec Spring School in High Performance Computing – French

Posted by on in Training events

Registrations are now open for the Calcul Québec Spring School in High Performance Computing!

May 11-15, 2020 at Orford Musique
All levels
Please note that classes are mostly given in French.

The Calcul Québec Spring School in high-performance computing (HPC) allows graduate students, post-docs, researchers and professionals to learn how to make effective use of high-performance computing resources while at the same time benefiting from privileged access to Calcul Québec analysts for an entire week.

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Summer school: Data-driven ecological synthesis class

Posted by on in Intensive classe, Training events

Application deadline is Dec. 31, 2019.

We are accepting applications for the fifth edition of the Data-Driven Ecological Synthesis intensive class, held from April 27 to May 3 at the Station de Biologie des Laurentides, Université de Montréal. The aim of this class is to train ecologists in state of the art techniques for data management and analysis for synthesis research. It is co-taught by Prof. Timothée Poisot and Dr. Andrew MacDonald. More information, including a link to the application form, can be found here: https://poisotlab.io/ddes/. Students from Québec universities can claim 4 credits for this class.