233 parallel-computing-numerical-methods-"Multiple" Postdoctoral positions in Germany
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30 Jan 2026 Job Information Organisation/Company University of Greifswald Department Human Resources Research Field Information science Researcher Profile First Stage Researcher (R1) Positions
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The Microbiome Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 301-2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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neuropsychological methods and large-scale cohort studies to advance mechanistic resilience research in the field of cancer survivorship. To strengthen the team in the Division of Cancer Survivorship & Psychological
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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of healthcare, science, technology, society, and the environment. Our mission encompasses both theoretical and empirical methods to foster ethical, transparent, and interdisciplinary research, education and
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is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling its detailed analysis through
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research project “Cities. Building. Culture – The Residential Heritage of the Soviet Union in Times of Multiple Crises” funded by the Federal Ministry of Education and Research (BMBF). This international and
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combination with methods of nonlinear spectroscopy. The spectral range includes in particular XUV radiation and soft x-rays, where experiments at in-house sources are complemented with the use of accelerator