Faculty app season has begun! Here are 5 logistics tips about the initial search process that I wish someone had told me earlier:

1. I found subscribing to updates from job boards via email or RSS feed much easier than checking them manually. I subscribe to Academic Jobs Online, Chronicle of Higher Ed, HERC, Higher Ed Jobs, jobRxiv, Nature, Science, and SfN.

2. Check the job boards for each university (search "[school] faculty jobs"). Twitter and @FuturePI_Slack
help as well. 8 of 32 listings I'm currently applying to haven't posted ads outside of these places 👀

3. Well before the deadline, read the full ad AND walk through the entire application process. Several times I've found hidden requirements inside the application, requirements that contradicted the ad, or even hidden earlier deadlines!

4. Email the ad contact or dept admin as soon as you have question. Which of these contradictory requirements is correct? Is this rolling search still open? Will this search consider me, given I don't quite meet the ad? Don't wait; email!

5. I keep all my listings in a spreadsheet with the following columns:
Posting: Posted on, Source, Link, School, Department, Deadline, Deadline type, Deadline notes, Key words
Requirements: RS, DEI, TS, Refs, Other, Submission, Website
Application: Started?, Researched?, Customized?, Submitted?, Date submitted, Letter instructions, App contact

Happy job hunting, everyone!

Do you know someone who would be a great speaker for this conference? Pass this along to them, or nominate them at forms.gle/xvN2p5JmfFhXnnmQ9 and we'll reach out to them 😊. We've contacted 160 labs so far to get a broad range of backgrounds!

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I'm co-chairing the trainee-only portion of the Inhibition in the CNS conference this July in the Swiss Alps. If you study GABA in any way, come join us! Apply at grc.org/inhibition-in-the-cns- by April 9th to be considered for a talk.

We suggest that ensemble definitions be broadened to fully capture how the brain works without superimposing our own biases of how we think the brain should work.

Many thanks to @giocomo for inviting me to write this with her and allowing me to explore a topic I'm fascinated by!

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How we define these ensembles is somewhat based in physiology, but largely based on analysis preferences and experimental conditions.

Different ensemble views can lead to vastly different conclusions, and particularly fascinating findings have arisen from recent papers that examine coding from multiple views.

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How neurons represent navigational variables is studied at a wide range of ensemble scales - from single neurons to small groups to whole populations. We divided them into 6 views.

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My review with @giocomo is now out in Current Opinion in Neurobiology! authors.elsevier.com/c/1gH1-3Q

(let's see if I can figure out how to on here 🐘)

What math do neuroscientists need to know?

A highlight of #SFN2022 was Ella Batty's answer to this question. She showed off an incredible math for neuroscientists course she has developed at Harvard with open materials (ebatty.github.io/MathToolsforN) and discussed her amazing work with Neuromatch Academy (compneuro.neuromatch.io/)

Her SFN slides are here: osf.io/s94b2

#Neuroscience #GradSchool #Math

Working with the @InternationalBrainLab's massive dataset can be daunting. I made this notebook to help you:
- Query recordings from a certain brain region (or multiple simultaneously recorded regions)
- Load in the neural activity
- Align the data to task events
- Plot PSTHs

colab.research.google.com/driv

RT @mariam_s_aly
How do cognitive maps differ from spatial schemas?

Review of how cognitive maps (of a specific city) differ from spatial schemas (expected city layout) & event schemas (expected city events)

By @DelaFarzanfar, @hugospiers, Moscovitch, & @RosenbaumLab

nature.com/articles/s41583-022

Hello 👋 time for an 🐘

I'm a neuroscientist at Stanford in @giocomo's lab studying how neural firing sequences in entorhinal cortex evolve over learning. I'm also the co-chair of the Inhibition in the CNS Gordon seminar in 2023 emilyjon.es/grs/. I love studying all things , spatial learning and memory, and 's disease.

Also I have a dog named Heimdall, king potato and president of derpistan.

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