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9 Sep 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Mathematics » Statistics Biological sciences
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mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design
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motivated and excellent candidates who will hold a Master’s degree (or equivalent) in computer science, mathematics, statistics, engineering, physics, or a related field. Candidates from the life sciences
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Job Code: MPIDS-W091 Job Offer from July 28, 2026 In the Department of Living Matter Physics (LMP) we seek to fill several PhD positions on Statistical Physics and Active Matter. The Max Planck
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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale
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, Mathematics, Physics, Engineering, Computer Science or related disciplines with a strong academic record. Strong background in data analysis, statistics, machine learning, scientific computing, or related
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
. You will have the freedom to ask what information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging
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, statistical methods and more in a unique scientific environment. Who Should Apply? The School encompasses the broader field of Earth sciences, including economics and social sciences, emphasizing the physical
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Master’s degree in physics, applied mathematics, or related disciplines. You have knowledge in soft matter/complex systems physics, biological physics, or statistical physics. You enjoy working in
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(www.denkglobaldx.org ), our department hosts a diverse and interdisciplinary team working across diagnostic innovation, clinical and implementation research, mathematical modelling, data science, and health-economic