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Physics Expert (Biophysics / Statistical Physics)

micro1Cały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano2 sierpnia 2026
Wykryte przez nas
Wykryte przez nas3 sierpnia 2026
Zarobki
ZarobkiDo uzgodnienia

micro1 is seeking a Physics Expert specializing in biophysics or statistical physics to contribute to a high-level research project focused on modeling bacterial population dynamics. You will apply your deep domain knowledge to help train next-generation AI systems, ensuring they learn and reason based on high-quality, real-world scientific input.

Key responsibilities

  • Analyze and model stochastic two-state Markov processes with gamma-distributed waiting times within the context of bacterial population dynamics.
  • Apply the Euler-Lotka equation to assess and benchmark asymptotic population growth rates under varying noise regimes.
  • Develop or review analytical approaches using perturbative expansions in small division-noise variance and validate resulting predictions.
  • Integrate renewal theory and first-passage-time analysis to derive key insights on population growth and cell-size regulation noise.
  • Document detailed methodological steps, assumptions, and findings clearly for AI training and reproducibility purposes.

Requirements

  • Advanced expertise in statistical physics, biophysics, or related quantitative biological modeling of stochastic processes.
  • Proven experience working with two-state Markov models and gamma-distributed waiting times in biological or physical systems.
  • Strong command of the Euler-Lotka equation, perturbative expansions, and renewal theory in the context of population or growth dynamics.
  • Demonstrated ability to conduct first-passage-time analysis and interpret implications for growth-rate fluctuations and size control.

What we offer

  • The opportunity to contribute your specialized scientific expertise to the development of advanced AI systems.
  • A fully remote working environment that allows you to focus on complex research-level tasks.
  • Engagement in a project that bridges the gap between theoretical physics and cutting-edge machine learning.

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