Useful resources throughout your PhD

April 06, 2022


Here is a list of resources that might be useful to you during your PhD.


Feel free to suggest more ideas!

 

  • How to access the MAX platform

All employees at the MPIGM have access to the MAX platform, the intranet of the Max Planck Society. To connect, select “Other Users” in the “Choose your institution” menu, enter your personal number (you can find it on your salary sheet) and your @molgen email password. 

 

  • Mental health

If you are struggling with problems that affect your mental health and well-being, don't stay without talking about it! There are several solutions available to you:

 

  • Github

https://github.molgen.mpg.de/

 

  • Programming skills with R

https://www.datacamp.com/courses/free-introduction-to-r

Nordmann et al., 2022, Data Visualization Using R for Researchers Who Do Not Use R (Paper and Bookdown for working through tutorial)

 

  • Linux command line

The Linux Command Line, by William Shotts

 

  • MATLAB Access and Support

The Max Planck Society has a licence with unlimited access to all online trainings and tools. You can find more information here: https://de.mathworks.com/academia/tah-portal/max-planck-gesellschaft-zur-foerderung-der-wissenschaften-ev-31194937.html. Click on “Sign in to get started” to create an account with your MPIMG email address. 

 

  •  Introduction to bioinformatics

Bioinformatics Algorithms: An Active Learning Approach by Compeau and Pevzner (textbook + videos): 

 

  • Scientific writing

Mensh & Kording, 2017, Ten simple rules for structuring papers.

https://www.coursera.org/learn/sciwrite

http://www.bushmanlab.org/assets/doc/ScientificWritingV39.pdf

https://cbc.arizona.edu/sites/cbc.arizona.edu/files/marc/Sci-Writing.pdf

 

  • Generating professional figures and drawings

All MPG employees have access to Biorender. Please check carefully the licensing terms beforehand. 

 

  • Making a poster

How to create a better research poster in less time

 

  • Wrinting a scientific CV

Time to rethink the scientific CV, Nature 604, 203-205 (2022)

 

  • Deep Learning Lecture (Prof. Dr. Frank Noé, Freie Universität Berlin)

https://www.youtube.com/playlist?list=PLqPI2gxxYgMKN5AVcTajQ79BTV4BiFN_0

 

  • Machine learning

https://www.coursera.org/learn/machine-learning

Amidi & Amidi, 2018, Super VIP Cheatsheet: Machine Learning

 

  • Statistics

https://www.coursera.org/learn/stanford-statistics

 

  • ZEIT CAMPUS Ratgeber Promotion

https://issuu.com/zeitmagazine/docs/zcr_promotion_1-21

 

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