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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
profile # Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field # Background in mathematical surrogate modeling and machine learning # Experience or familiarity
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tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and
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site in Heidelberg, invites international students holding a Master’s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology / public health
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: excellent master’s degree in physics, experience in plasma research Project 2: excellent master’s degree in materials science, chemistry, or solid-state physics. Knowledge in solid-state chemistry, X-ray
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or replace established methods from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along
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computing, and synchrotron-radiation experiments. The goal is to explore physics-informed self-supervised learning approaches (e.g., deep image priors, GANs) and iterative methods, combined with multi-scale
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interdisciplinary doctoral program starting July 2026. 🔬 What we offer Join a highly collaborative, DFG-funded research environment that brings together experts from physics, chemistry, biology, and materials
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7 Apr 2026 Job Information Organisation/Company Technische Universität Dortmund Department Department of Physics Research Field Physics Computer science Geosciences Mathematics Chemistry Researcher
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, United Kingdom Supervisor: Dr. Ivana Savic Focus: computational materials modelling Background: physics, computational materials science. or a closely related discipline Apply: https://mgician.eu/research/doctoral
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 13 hours ago
, materials science, physics, or related field Strong background in materials synthesis and characterization Experience in data science or high throughput methods Experience in electrocatalysis and or working