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All seems a bit pointless now. Either pump out AI papers and neglect your own development, or take it slow and fall behind in the publishing race. I already have two papers made largely without LLMs (still seeking publication), but it's hard to resist just vibing the third from start to finish with…
Earnings come in a combination of scholarships and salaries and vary widely between countries, an analysis by international federation Eurodoc reveals.
I know top ML PhD admissions are insanely competitive, so I’m trying to figure out if it’s even worth applying or if I should just focus seriously on jobs instead.
International students explain the advantages and challenges that come with pursuing a doctoral degree in China.
Background: I am about to graduate with my PhD next year in Computer Science from an R1 university. My research background is AI in finance.
I got really into research a year ago during my final year of undergrad and maneged to get a first author paper accepted at Neurips 2026. It is a pretty impressive achievement obviously but my background is pretty shit lol.
In your Career feature, a PhD student distressed by killing two or three mice daily asks for “suggestions for coping mechanisms” (see Nature https://doi.org/rp77; 2026). The advice includes “getting enough sleep, eating well, exercising” and memorializing the euthanized animals.
A new crop of Stanford Medicine doctoral students prepare for the launch of their scientific journeys with advice from a Nobel Prize winner.
Engineering and running experiments are a key component of most PhDs in AI. While there are plenty of more theoretical topics that are often limited to smaller scale experimentation, the trend has definitely been to scale up models, datasets and experiments.
The Meta Research PhD Fellowship program awards PhD candidates conducting research on the cusp of emerging topics across computer science, engineering, and behavioral science.
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