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Field
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Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC experience is a
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 18 days ago
-time employment. Starting date: 01.02.2026 Job description:PhD Student (f/m/d) Development and Evaluation of PET Image Reconstruction Methods for Simultaneous Clinical Dual-Tracer PET Imaging With
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Primary supervisor - Dr Penelope Pickers Background Current projections of the global land carbon sink are widely divergent, because there is currently no robust method to separate net ecosystem
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. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize
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of automotive engineering. Design, testing, and evaluation of vehicle components and systems. Application of numerical methods (FEM, MBS) to analyze static and dynamic load states. Execution of experimental
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by cellular imaging using expansion and super-resolution microscopy. Your profile The candidate should have experience in state-of-the-art biophysical methods with a particular focus on the kinetic
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- Teaching courses and supervising of student theses YOUR PROFILE - University master's degree in geophysics or physics, above-average, with ideally good knowledge of seismic methods and numerical simulations
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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using a multiscale numerical approach, from atomistic to large-scale thermomechanical modeling, coupled with micromechanical experiments (see figure below). The master internship and PhD thesis will
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied