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Field
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Statistical Mechanics of Noisy Quantum Devices Programmable digital quantum devices are redefining our understanding
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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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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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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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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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sedimentological (grain size distribution), geochemical (XRF, ICP-OES, C/N), and soil physical (density, pore volume, water conductivity) analyses in the laboratory, multivariate statistical evaluation of the data
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susceptibility, and health outcomes. Using advanced computational, statistical, and artificial intelligence approaches, the candidate will analyze genomic, epigenomic, transcriptomic, and clinical datasets
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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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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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,orarelatedfield · Strongbackgroundinquantitativemethods,statistics,anddatascience,with demonstrated experience in empirical research and data analysis of large datasets