micro1

Physics Expert (Biophysics / Statistical Physics)

Worldwide · Remote · REMOTE · FREELANCE
Publiée le 2 septembre 2026 · Candidature traitée sur le site de l’entreprise
Biophysics-ResearcherResearch-Physics-ExpertPhysics-ExpertPhysics-SpecialistPhysics-ConsultantResearch-Physics-SpecialistBiopharmaceutical-PhysicistPhysics-Research-Consultant

Role Title: Physics Expert (Biophysics / Statistical Physics) Role Type: Contractor Location: Remote micro1 is engaging Physics Experts (Biophysics / Statistical Physics) to contribute to a research-level project focused on modeling bacterial population growth, stochastic two-state growth-rate switching, cell-size regulation noise, and asymptotic population growth rate. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Participants may be considered for one or more assignments, including Solver, Auditor, or Adjudicator, based on subfield specialization, seniority, and hands-on experience with the relevant methods. Scope of Work • Analyze and model stochastic two-state Markov processes with gamma-distributed waiting times in 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. Preferred Qualifications • 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. Originally posted on Himalayas

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