It's here aaah!!
Check out the new logo of The Science Paradox!
Here's our way of entering the new year with a revamped logo, renewed spirit and refreshed enthusiasm!
#newlogo#academia#science#1year#scicomm
My 3 favourite things about being a scientist: your full time job is to solve mysteries (how cool is that!), constantly being amazed by how beautiful & surprising the natural world is, getting to work with people who are smarter than you & have skills you only dream of having.
I maintain this diary of sorts where I make a note of mistakes that I made along with a quick mention of why not to do it as well as a correction. I call it ✨Fucked up moments ✨
I entered something new today, and scrolled up to see this gem 😂
Quick update! 🧬
Had a lovely time at the PhD Student Symposium @viennabiocenter ! As always, I got a chance to hear some interesting talks and see inspiring posters. Check out what I presented! Knock on my door if you have any questions. Happy to answer :)
@cantyayanya@shubhampsoni Had a lousy experience last Christmas when I was flying back home. It's crazy how they have (or had) fairly cheaper tickets, I still try to avoid them. Ngl they served decent flight food. I'll give them that. Sorry for leaving an unsolicited review on Shubham's post though 😂
Absolutely! In my opinion, one thing that academia doesn't offer more often is a celebration of failure. Every bit of information helps in solving the puzzle at the end of the day!
What do you think, can you graduate and get a PhD if you did everything right but didn't get any original results worth publishing? I have a feeling most people would say 'no', but in my opinion it's a 'yes'. Where would science be if we don't try things that can fail?
@HriBri And if you work on the bench, you'd stop counting the amount of times you fail. But every failure sheds light on nuances that you might not have observed before.
@HriBri I partially agree. We don't have to blindly accept results without reason. However, at least in academia, for proving or disproving something, every bit of data that you get should be fundamentally analysed to see if it aids your hypothesis.