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the full research group. Contact information Additional information about the position can be obtained from the Head of the Research Unit, professor Tore B. Stage at tstage@health.sdu.dk or 0045 65503678
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Mechanics and Turbulence” group and conduct research on data-driven techniques for turbulence modeling in LES and RANS. The initial contract will be for one year, with the possibility of an additional one
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-tier journal (preprint: 10.21203/rs.3.rs-5123765/v1). We now aim to translate this platform by delivering gene editing tools, mRNA therapeutics, and other functional cargos into disease models. To drive
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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professional groups work hand in hand to provide our patients with optimal treatment. PhD position / Postdoc position (m/f/d) in Cancer Genomics and Oncogenic Signaling Full- or part-time | temporary (12 month
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fellow, you will be empowered to own a project end-to-end, from model design and assay development to data generation, analysis, and publication. You will be immersed in a scientifically rich and
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modelling of nitrogen fluxes in agricultural systems, starting 01-07-2026 or as soon as possible thereafter. The position will be available for a period of 2 years. Food security, climate change and loss
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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heart regeneration. Your profile PhD and a strong publication record in vascular biology & bioengineering, computational biology, or cardiac/developmental biology and disease modeling. Extensive molecular
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image