Eric Earl

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Eric Earl

Eric Earl

@ericearlybird

Neuroinformaticist in the NIMH Data Science & Sharing Team, Dad/Husband at Home

Portland, OR, USA Katılım Mayıs 2023
245 Takip Edilen83 Takipçiler
AdamT
AdamT@damadam·
The Data Science & Sharing Team (DSST) at NIMH is hiring an early to mid-career Data Scientist. nimh-dsst.github.io/dataSci_job_ad… Feel free to contact current and former team members with any questions. You can also find us @INCForg Assembly in Austin #OpenScience Apply by Oct 11th. Please retweet/boost!
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Eric Earl
Eric Earl@ericearlybird·
I love working for the NIMH DSST and I bet any other data engineering or data scientisting or machine learning inclined person would too. It pays real adult money as well, unlike most other academic research software engineering roles.
AdamT@damadam

The Data Science & Sharing Team (DSST) at NIMH is hiring an early to mid-career Data Scientist. nimh-dsst.github.io/dataSci_job_ad… Feel free to contact current and former team members with any questions. You can also find us @INCForg Assembly in Austin #OpenScience Apply by Oct 11th. Please retweet/boost!

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Michael
Michael@DemidenkoMI·
If you’re using ABCD task fMRI data, checkout the noted issue on ABCD wiki. #known-issues-task-fmri-stimulus-timing" target="_blank" rel="nofollow noopener">wiki.abcdstudy.org/release-notes/…
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Eric Earl
Eric Earl@ericearlybird·
Social media companies want to keep kids addicted to scrolling. Tell Congress to pass KOSA and COPPA 2.0 to help protect kids online. #PassKOSA p2a.co/3YYgtHL
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BIDS-standard
BIDS-standard@BIDSstandard·
The 💻 2024 BIDS Community Survey 💻 closes April 3. If you haven’t already responded ✅, please do so at bit.ly/bidssurvey2024. Your opinions are valuable and every response will be read. And for those without Google, we will send a survey just for you soon!
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Robert Hermosillo
Robert Hermosillo@DrScienceMan1·
Our paper “A Precision Functional Atlas of Personalized Network Topography and Probabilities” is out now in @NatureNeuro! The MIDB Precision Brain Atlas is a collection of individualized neural network maps from n~10,000 and probabilistic atlases (1/8) rdcu.be/dCvuC
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Eric Earl
Eric Earl@ericearlybird·
@DavidRen555 @hesheng3 @sattertt @DavidRen555 This is very cool work! Awesome! I was wondering, do you have a software maintenance team and a release plan for managing future features and accommodating things like new/changing MRI sequences? #fMRIPrep is also successful because of continued effort/support.
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BIDS-standard
BIDS-standard@BIDSstandard·
The 🎉 2024 BIDS Community Survey 🎉 is open until April 3. We are looking for your input on how you use BIDS and future directions for BIDS. We want to hear from users and non-users, experts and non-experts. Please share share this survey widely! Survey: bit.ly/bidssurvey2024
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Eric Earl
Eric Earl@ericearlybird·
@elneurozorro @BIDSstandard @cmaumet Also @elneurozorro, FWIW, I can't find a good option for reaching Crimea, Cuba, Iran, North Korea, and Syria with an online form... I'll talk with the other maintainers about this at our next meeting and see what we can do.
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Eric Earl
Eric Earl@ericearlybird·
@elneurozorro @BIDSstandard @elneurozorro ack! You're right! I will bring this up at the next maintainers meeting and see if we can find a nice alternative to collecting this data for folks with such access restrictions. Thanks for bringing that up! Do you know any off the top of your head?
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Alejandro
Alejandro@elneurozorro·
@BIDSstandard Nice survey! My only concern is people in countries who can't access Google services may not be able to fill out the survey.
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melanieganzbenjaminsen
melanieganzbenjaminsen@melanieganzben1·
1/N Dear @BIDSstandard community, it’s time to nominate 🏆and elect 🗳️two new Steering Group members! The nomination period opened on September 5th and will close on Friday, September 22nd at 11:59pm (Anywhere on Earth; UTC-12). 👉Nominate yourself here: forms.gle/AHXwtoH4ibkpHJ…
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Chenying Zhao
Chenying Zhao@chenying_zhao·
Feel it’s challenging to analyze a large neuroimaging dataset in a reproducible way? Check out our latest preprint of BABS! BABS is a user-friendly and generalizable Python package📦for reproducible image processing at scale. doi.org/10.1101/2023.0… 🧵 1/n
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