For computational neuroscience / statistical physics people in Fedi: I am actively looking for a tenure-track or a junior PI position.

My background is pure statistical physics and complex systems. I mostly do stochastic processes but I'm very familiar with disordered systems too. I'm more interested by the dynamical systems side of things... How structure shapes dynamics, how dynamics are related to computation and processing . I am quite good at writing simulation code.

I also have taught a lot of hours and cosupervised students with good results. If you know about any open position or grant and you're interested in my profile, feel free to contact me!

#getfedihired #compneuro #computationalneuroscience #academicchatter #statphys

#introduction #introductions

Trabajo en #Física en un Instituto de Investigación Público en #Chile , desarrollando herramientas teóricas y computacionales para la mecánica estadística #StatisticalPhysics #StatPhys

Cuando no estoy en eso, veo y leo #SciFi, #anime y #manga .

I work in #Physics in a State Research Institute in Chile, developing theoretical and computational tools for statistical mechanics.

When I'm not doing that, I watch and read SciFi, anime and manga.

We are a lab of young researchers in statistical physics of complex systems. Led by @manlius at the University of Padua

#ComplexNetworks #NetworkScience #StatPhys #NetworkMedicine #ComputationalEpidemiology #Infodemics #ComplexSystems

#statphys

物理では等確率の原理を物理的に仮定してしまっているので、カノニカル分布が$$
p_i(\beta) = \frac{e^{-\beta E_i}}{Z(\beta)}, \\
Z(\beta)=\sum_i e^{-\beta E_i}
$$の形になるのですが、もっと一般の場合には、任意の確率分布 $q_i$ (全部非負で総和が1)が与えられていて、$$
p_i(\beta) = \frac{e^{-\beta E_i}q_i}{Z(\beta)}, \\
Z(\beta)=\sum_i e^{-\beta E_i}q_i
$$がカノニカル分布の形になります。

この形でのカノニカル分布の一般的な導出は次のリンク先のノートの第7節にあります。田崎さんの統計力学の教科書の議論と本質的に同じです。

https://genkuroki.github.io/documents/20160616KullbackLeibler.pdf