Need for non-invasive biomarkers for endometrial receptivity. A comprehensive review of the existing biomarkers and their prediction abilities.
Great work on literature @DeepakNModi and team 👏🏻
Access it here-
https://t.co/ohhzqEmn7t
Our review of non-invasive circulating biomarkers for #EndometrialReceptivity shows modest predictive power and lack of robust validation. Clinically, new #biomarkers are urgently needed for #infertility and #implantation failure.
Read full-text here: https://t.co/u6i0a5YmYy
Looking for an Internship in Montreal? Interested in working with viruses and mouse models? Come join us for an interesting summer internship.
Apply here-
https://t.co/9tjv5SM756
Project description in the pinned comments.
#Research#Internship#Montreal
À fantastic read for a Friday-
Congratulations to the authors🙌🏻
Dynamics of HOXA10 expression in ectopic endometrium of a... : Fertility Science and Research https://t.co/8HFuZBkH1J
How about instead of publishing papers the same old boring way, we use AI to generate a David Attenborough documentary where Sir David narrates your data which is presented w/ the finest cinematography & editing. This way every paper would look/sound amazing & easily get accepted
Recently I met a big recruitment manager from a well known corporation.
He told me in a non-appealing tone that:
- They mostly hire fresh BS / MS graduates
- In some cases they hire PhD graduates (but it’s not preferred)
- In almost no cases do they hire people with postdoc experience
- beyond postdoc: forget about getting hired there
They compile short lists using keywords. You don’t have enough number of skills in your CV…? Bye bye.
If your background is a bit off-topic, you will be ignored. Even if you are a great professional.
Why? They don’t want to wait for you to learn a new skill (even if it takes some weeks). They don’t want to spend resources on educating new hires even if they are outstanding professionals.
At first, I was surprised. The reply sounded arrogant and lacking respect for candidates.
But then I thought that, in academia, most PIs are just like this.
Rarely would they hire you because you’re a great problem solver and can think deeply and analytically.
Normally, they would hire you for a PhD and postdoc position because you have relevant skills and experience. (even for a PhD opening - I heard it so many times!)
My message is:
1. While in academia, invest into your skills! DIVERSIFY your skillset and expertise. Ask your advisor to help you get access to spectrometers, microscopes, chemical synthesis, clean rooms, etc. Join your group members and friends for synchrotron beamtime. Get as much hands-on experience as possible, even if it’s not that deep.
2. DO programming. As much as your free time allows for it. For example, explore how you can process your data using Python. Download open-access datasets, learn how to do machine learning. This can be a huge plus in the future.
Sticking to a very narrow skillset can hugely damage your career opportunities.
Diversity your CV.
#AcademicTwitter #phdlife #research
Starting my search for a PhD position in neuroscience with background in cell and molecular biology. Preferably in and around Montreal due to ease of study permit extension. Any leads are welcome! #AcademicChatter