Here lists the article index of Terence Tao’s career advices.

On the importance of partial progress 2019-09-22
Timeline of postdoc applications | Lovely little lemmas 2018-04-18
What are some useful, but little-known, features of the tools used in professional mathematics? 2017-07-08
On time management 2008-08-07
Continually aim just beyond your current range 2007-09-21
Batch low-intensity tasks together 2007-07-18
Does one have to be a genius to do maths? 2007-05-14
Which universities should one apply to? 2007-05-14
Solving mathematical problems 2007-05-14
Advice on gifted education 2007-05-14
On writing 2007-05-06
Be considerate of your audience 2007-05-06
Talks are not the same as papers 2007-05-06
Make your work available 2007-05-06
Write down what you’ve done 2007-05-06
Use the wastebasket 2007-05-06
Don’t prematurely obsess on a single “big problem” or “big theory” 2007-05-06
Be professional in your work 2007-05-06
Be flexible 2007-05-06
Be patient 2007-05-06
Attend talks and conferences, even those not directly related to your work 2007-05-06
Take the initiative 2007-05-06
Talk to your advisor 2007-05-06
Study at different places 2007-05-06
Think ahead 2007-05-06
Be sceptical of your own work 2007-05-06
Ask yourself dumb questions – and answer them! 2007-05-06
Learn the power of other mathematicians’ tools 2007-05-06
Learn the limitations of your tools 2007-05-06
Don’t be afraid to learn things outside your field 2007-05-06
Learn and relearn your field 2007-05-06
Don’t base career decisions on glamour or fame 2007-05-06
Enjoy your work 2007-05-06
Work hard 2007-05-06
There’s more to mathematics than rigour and proofs 2007-05-06
There’s more to mathematics than grades and exams and methods 2007-05-06
Advice on mathematics competitions 2007-05-06
The Power (and Peril) of Praising Your Kids -- New York Magazine - Nymag 2007-02-09
Williams College - Systems Down 0001-01-01
The Princeton Companion to Mathematics 0001-01-01
The illustrated guide to a Ph.D. 0001-01-01
On our duties as scientists 0001-01-01
hamming advice 0001-01-01
Graduate Student Guide 0001-01-01
For potential Ph.D. students 0001-01-01
AMS Notices Of The American Mathematical Society 0001-01-01
Advice for Students --- Especially Graduate Students in Statistics 0001-01-01
advice 0001-01-01