Online Training Resources

Online training resources in times of COVID-19

To help our students and post doctoral fellows we have put together a list of online resources available at the moment

Internal Resources

Writing courses by Iain Patten

·     Online Image Analysis: (Karin Aumayr)

·     General information – VBC Corona Blog

Introductory Data Analysis 2 - Nonlinear Regression Course by András Aszódi (VBCF)


New "Nonlinear Regression" course which is part of a larger series on "machine learning". This course will teach you how to construct and analyse statistical models if you have complex nonlinear relationships between your observations.

WHEN? 6th May (Wednesday), from 09:00 to 13:00

WHERE? Still on the Internet, unfortunately...


  • How to fit a PCR curve? Univariate nonlinear regression.
  • More than one independent variable? Multivariate nonlinear regression.
  • The flu epidemic is coming again? Modelling periodic phenomena.
  • Smoothing by fitting: LOESS, kernel smoothing methods, splines, generalized additive models.

For more details visit 

PREREQUISITES: Basic statistics knowledge ( ). Having attended my Linear Regression course ( ) is an advantage but not a strict prerequisite.

HOW MUCH? Free of charge

HOW TO REGISTER? Head to, click on the Register button and fill out the little form. Make sure your PI agrees to your participation in the course. Do not register other people. Do not ask me to register you. First come, first served. 

GENERAL RULES:  Review them carefully at

Some selected external resources

Nature Courses Onlines

PhD Collection -

Mental Health Collection -

Mentoring and Mentees -

Scientific Data tips -

Educational and entertaining Biology talks online

Well-being in times of COVID-19 (from Desiree Dickerson)

  • Click here for general useful resources
  • A cheat sheet for PI's on how to check in with their lab group / staff / students - LinkedIn article here
  • 'Seven tips to manage your mental health and well-being during the COVID-19 outbreak.' Desiree’s latest piece in Nature

An interesting article about science at home:

Selected online coding resources:, resource collection and new tutorials specifically targeted to molecular biologists with little or no computational experience and focused on molecular data analysis (e.g. RNA-seq processing and analysis, Hi-C visualization, genomics portals, etc.). It also contains a list of interesting webinars and links to online conferences. - Learn R, Python & Data Science Online


FFG Academy Online Training -Proposal writing for Marie Skłodowska-Curie Individual Fellowships (IF)
Starting 22 April 2020 – Food for thought
05 May 2020 from 09:00 am – 12:00 pm Live sessions
06 May 2020, from 09:00 am – 12:00 pm Live sessions
Starting 7 May 2020 – Getting the application done

Please register until 20 April 2020 on the website: