Thursday, April 13, 2017
Monday, April 10, 2017
Friday, March 31, 2017
Anne Krook has a page full of practical advice on how to get a non-academic employment, which is something that I have been looking for for a long time. So here is the link, and all beginning grad students should consult this page in the first semester of their program. She even has a post titled "can non-academic careers be Plan A yet?"!
Wednesday, March 22, 2017
"In general, I’ve seen that the people who get ahead in [academic ecology] the job market are those who have a clear vision of what [research] job they want to pursue and why it matters. As you finish your PhD, spend time thinking about a few possible future [research] job directions. What do you want to [discover] contribute to society? Why? And what will it take to make those [discoveries] contributions?"
Thursday, March 16, 2017
IB graduate students, if you want to make some more exiting defence announcements: twitter threw down the gauntlet, and the bar is now raised substantially.
PhDs scheduling their defenses makes me happy— Ian Petrie (@icpetrie) March 4, 2017
PhDs advertising their defenses with cool posters makes me cartwheel with delight
More please! pic.twitter.com/xl9QkXQpq4
Wednesday, March 8, 2017
Monday, February 27, 2017
- You create a Transposable Element (TE) simulation model called TEWorld, with this logo:
TE (and you only realize this after collaborating for 4 years)
- You need to run said simulations on sharcnet, and one of the clusters is you will use is called kraken (or orca, or requin, or saw; obviously computer scientists are not biologists, or they are and the inclusion of orca is reverse reverse psychology).
- You receive links to these types of youtube videos:
Tuesday, February 21, 2017
"Monica Harris, a professor of psychology at the University of Kentucky, is a rare exception. She believes that too many PhDs are being produced, and has stopped admitting them. But such unilateral academic birth control is rare."
Monday, February 13, 2017
Friday, February 3, 2017
I decided afterwards to do the challenge, and with our weekly University of Guelph R Users group (UGRU) we walked through the code line by line, and discussed why certain lines were included, alternative ways to code them, advantages and disadvantages of these alternative approaches. It took us 3 hours of exploration, and I have captured our discussion in an alternative R script file, where our notes are preceded by "###" to differentiate them from Brian's comments.
Here is a link to this updated script file: https://drive.google.com/open?id=0B6C_pml53BPUQ1JKWV96NDFFVUU
Here is a summary of some of our observations:
- The tidyverse package makes everything easy
- read_csv is preferable over read.csv
- tibbles are the way to go
- reproducible code is very difficult (paths to files, outdated packages)
- different philosophies with respect to keeping/creating intermediate files, and the value of long versus short file names
- the flexibility of ggplot is awesome, and just as in base R, there are multiple ways to reach the same goal
- and the biggest revelation for some of us: when you are piping, and your code is structured in multiple lines, you can still execute the whole block with one cmd/ctr-enter, without the need to highlight the block or step through it line by line!
Wednesday, January 11, 2017
At the end of the semester, several participants shared their exploratory data analysis, and the word that kept coming up after they put their code together the meeting and the feedback and questions from the other participants was "surprise": patterns they had missed, variables not included, approaches not considered, etc. And this was a mix of people with years of coding in R to beginners. So the feedback and working together did lead to several light bulbs and happy R users!
Wednesday, January 4, 2017
However, given one of my previous posts (see here), if only 10 percent of our graduate students end up in a faculty position, what resources, blog posts, advice, etc are out there for graduate students ready to make the transition?