Dr. Armita Nourmohammad Profile
Dr. Armita Nourmohammad

@TheArmita

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894
Following
848
Statuses
474

physicist, interested in biology --- Assoc. Prof. of physics @UW (Seattle)

Joined July 2016
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@TheArmita
Dr. Armita Nourmohammad
4 years
#TheoBiophysicsPosition We are recruiting postdocs at @UW (Seattle)! Join us if interested in bridging Stat. Phys. with immunology, proteins & evolution. Our work is theoretical & computational with experimental collaborations. info: Some recent work:
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@TheArmita
Dr. Armita Nourmohammad
2 months
RT @giulioisacchini: Curious about generative modeling for T and B cell receptor repertoires and its role in understanding immune system di…
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@TheArmita
Dr. Armita Nourmohammad
3 months
RT @ohallats: 🚨 Job Alert! 🚨 Join the UC Berkeley Physics Department! We’re hiring an Assistant Professor in soft condensed matter (broadly…
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@TheArmita
Dr. Armita Nourmohammad
4 months
RT @SettyM: Are you an early career scientist who wants to pursue a research project in the lab of a Fred Hutch Computational Biologist men…
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@TheArmita
Dr. Armita Nourmohammad
4 months
RT @BiologyAIDaily: HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction 1. HERMES introduc…
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@TheArmita
Dr. Armita Nourmohammad
4 months
RT @ApsDbio: Are you an undergraduate interested in pursuing graduate studies biological physics? Join us for a virtual panel “Applying to…
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@TheArmita
Dr. Armita Nourmohammad
5 months
RT @fepinheiromycin: My 'Predicting the evolution of antibiotic resistance' is out now 🤓🥹 I review a topic that's…
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@TheArmita
Dr. Armita Nourmohammad
5 months
RT @p_r_francois: We are hiring post-docs! Please do not hesitate to share. We are especially looking for candidates with strong theory a…
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@TheArmita
Dr. Armita Nourmohammad
7 months
Check out HERMES, our equivariant structure-based suit of models to predict stability and fitness effect of mutations, led by @GMarcoVisani bonus: fine-tune your own protein models. Google Colab: Github:
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@TheArmita
Dr. Armita Nourmohammad
8 months
RT @rahmstorf: We don’t want this climate future for Europe - in my view it’s a risk we should avoid at all cost, as I explain in this vide…
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@TheArmita
Dr. Armita Nourmohammad
8 months
RT @rahmstorf: Is the #AMOC approaching a tipping point? Here's my take after researching this topic for over 30 years. Open access, peer-r…
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@TheArmita
Dr. Armita Nourmohammad
9 months
RT @TLM_Cambridge: 🚨Wed 29/05 - @TLM_Cambridge online seminar🚨 Professor Hernan García @HernanGGarcia (UC Berkeley) on “Using Physics as a…
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@TheArmita
Dr. Armita Nourmohammad
9 months
RT @NITMB_Chicago: Do you have an excellent idea for an NITMB Long Program? Learn how the NITMB can support you as you develop your idea i…
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@TheArmita
Dr. Armita Nourmohammad
9 months
very excited about the upcoming theory of living matter seminar @TLM_Cambridge
@TLM_Cambridge
Theory of Living Matter Group
9 months
🚨 @TLM_Cambridge Wed 22/05 | 16:00 UK - Online Seminar 🚨 "Learning the shape of the immune and protein universe" by Armita Nourmohammad @TheArmita Please RT & to attend online please register to our 📧:
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@TheArmita
Dr. Armita Nourmohammad
9 months
RT @ChrisWLynn: For postdocs and other early-career physicists, this is a great way to get involved!
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@TheArmita
Dr. Armita Nourmohammad
10 months
RT @sara_mostafavi: Joins us for Machine Learning in Computational Biology (MLCB) 2024 Submission deadline: June 1…
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@TheArmita
Dr. Armita Nourmohammad
10 months
RT @ChavarriaAlvaro: Dr. John C. Mather from @NASA will give the next Frontiers of Physics Public Lecture at @UW Seattle on May 8th. Regist…
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@TheArmita
Dr. Armita Nourmohammad
10 months
RT @PhysRevResearch: Holographic-(V)AE: An end-to-end SO(3)-equivariant (variational) autoencoder in Fourier space, Gian Marco Visani, Mich…
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@TheArmita
Dr. Armita Nourmohammad
10 months
@FakhriLab @UW Thanks for the visit and for the wonderful talk.
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@TheArmita
Dr. Armita Nourmohammad
10 months
check out our new work led by @GMarcoVisani on equivariant holographic variational auto-encoder (H-VAE) in @PhysRevResearch it extracts geometry-aware compressed representations of 3D point clouds, e.g. proteins, used for protein binding prediction &...
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