Training

The RESILIENCE partners offer a range of training courses and outreach events across the UK and throughout the year. Forthcoming scheduled training dates are shown below. You can also:

Browse our full range of Training Courses


Access self-paced, on-demand online training


Join our unique Leadership Accelerator Programme


Forthcoming Dates

Introduction to GraphPad Prism (webinar)

Introduction to GraphPad Prism (webinar)
15 Jul 26
Online

In this lunchtime webinar, trainees will learn the fundamentals of how to use GraphPad Prism


Data Analytics 1: Introduction to Statistics

Data Analytics 1: Introduction to Statistics
20 Jul 26
Birmingham

Uncover the fundamentals of statistics, with a focus on practically implementing the methods as well as understanding why they work


Mastering Protein Purification Using Chromatography Techniques

Mastering Protein Purification Using Chromatography Techniques
21 Jul 26
Edinburgh

This course is aimed at anyone who wants to develop an understanding of theory and techniques in protein purification using fast protein liquid chromatography (FPLC) on an ÄKTA chromatography system.


Data Analytics 2: Using R for Statistics

Data Analytics 2: Using R for Statistics
19 Aug 26
Online

Uncover the fundamentals of R as a programming language.


Principles of Fermentation Processes

Principles of Fermentation Processes
05 Oct 26
London

Focusing on how to specify the process and the fundamentals for characterisation, this module will strengthen your knowledge of fermentation processes and through a series of lectures and case studies.


Rapid Fermentation Process Design

Rapid Fermentation Process Design
19 Oct 26
London

This module focuses on the design and specification of bioreactors and the application of microscale techniques for rapid fermentation process development and scale-up.



Data Analytics, Machine Learning and AI for Biomanufacturing

Data Analytics, Machine Learning and AI for Biomanufacturing
23 Nov 26
London

Learn data analytic tools supported by multivariate data analysis (MVDA) and machine learning (ML) expertise to better leverage useful and actionable information from complex bioprocessing data sets.



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