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looking for a PhD Student (f/m/d) to work on the Development and Evaluation of PET Image Reconstruction Methods for Simultaneous Clinical Dual-Tracer PET Imaging. Positron emission tomography (PET) is a
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 25 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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statistical methods to estimate the use, effects, and risks of medications based on secondary data and to estimate the progress as well as the survival of cancer. The unit has extensive statistical expertise
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Max Planck Institute for the Study of Crime, Security and Law | Freiburg im Breisgau, Baden W rttemberg | Germany | 12 days ago
, criminology, behavioral science, or a related field, and a keen interest in bridging theory and application. Experience with advanced research methods—such as experimental designs, longitudinal data
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Max Planck Institute for the Study of Crime, Security and Law | Freiburg im Breisgau, Baden W rttemberg | Germany | 10 days ago
interdisciplinary and dynamic research environment in which criminologists, psychologists, sociologists, mathematicians, and computer scientists work together to understand the causes and consequences of criminal
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 8 days ago
science, or a related field, and a keen interest in bridging theory and application. Experience with advanced research methods—such as experimental designs, longitudinal data, or ecological momentary
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
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institutes as well as a secondment in a private-sector partner of the network. The research topics focus on the development of new physics inspired AI methods for inverse problems, uncertainty estimation and
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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and