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Advanced Statistics for Livestock and Agrifood Science: Mixed models & Multivariate analysis 26_27 CS

Analysis and interpretation of transcriptomic data 26_27 CS

Applied Statistics for Livestock and Agrifood Science 26_27 CS

Basic Statistics for scientific research 26_27 CS

Biotechnological approaches in the biorefinery concept 26_27 CS

Climate change impacts on forests and other terrestrial ecosystems 26_27 CS

Ethics in paper writing and the Responsible Use of IA 26_27 CS

Exploring with humans: from individual to collective data collection tools and techniques 26_27 CS

Foundations of Content Analysis for Qualitative Research 26_27 CS

Geomatics and Earth surface modelling 26_27 CS

Geostatistics 26_27 CS

How to prepare and present a scientific paper 26_27 CS

Introduction to GIS 26_27 CS

Introduction to Python 26_27 CS

Introduction to R for statistical analysis 26_27 CS

Introduction to your enterpreneurial post-doc life 26_27 CS

Leadership, Impact, and Wellbeing: Pathways for a Better PhD Experience 26_27 CS

Living organisms as biorefineries toward a more sustainable future 26_27 CS

Modeling and big data for biological systems 26_27 CS

Navigating the peer review process 26_27 CS

Research integrity: pills of ethics before spritz break 26_27 CS