Useful resources throughout your PhD


Useful resources throughout your PhD

June 09, 2022


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


Feel free to suggest more ideas!


Feel free to suggest more ideas!

 

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. 

 

If you are struggling with problems that affect your mental health and well-being, don't stay without talking about it! You are not the only one and there is no shame in feeling down and asking for help. There are several solutions available to you:

Zoë J. Ayres, 2022, Managing your Mental Health during your PhD – A Survival Guide

 

You can take advantage of tools, coaching & training offers available to you at the Planck Academy (MAX platform). 

 

You can access the inhouse Github here.

 

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)

Måns Thulin, 2021, Modern Statistics with R, From wrangling and exploring data to inference and predictive modelling

Altuna Akalin, 2020, Computational Genomics with R

 

The Linux Command Line, by William Shotts

 

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. 

MIT OpenCourseWare

 

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

MIT OpenCourseWare

Lectures and workshops at the Simons Institute for the Therory of Computing

 

The Planck Academy offers a webinar on Improved Reading. You can find more details here

 

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

Helmut Grubmüller, 2020, Scientific Writing: The Art of Programming Brains

 

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

 

How to create a better research poster in less time

 

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

 

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

 

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

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

MIT OpenCourseWare

Garrett Thomas, 2018, Mathematics for Machine Learning, University of California, Berkeley

 

fu:stat is the statistical consulting unit of the FU-Berlin, offering statistical consulting as well as statistical methods and software training. You can find more information here.

 

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

 

MIT OpenCourseWare

 

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

 

Find the appropriate format for your target audience here

 

DRS portal

Research funding portal of the Freie Universität Berlin

Federal Funding Advisory Service on Research and Innovation: They can help you identify a whole range of funding opportunities from various German government initiatives. They can also help you find local, national and EU research schemes, recommend partners, support international projects and much more.  You can contact them by phone or email.

Research in Germany: you can find there funding opportunities for different career levels. 

 

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