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of Biomedical Imaging and Bioengineering (NIBIB ) Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD ) National Institute on Deafness and Other Communication Disorders (NIDCD
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of positions: 1- Contract period: 2025.8.1 - 2027.4.30 (flexible)- Salary: max 3,500,000 KRW/mth- Location: Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea- ZIP code: 06974NISC (Next
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Republic of Korea | 3 months ago
of positions: 1- Contract period: 2025.8.1 - 2027.4.30 (flexible)- Salary: max 3,500,000 KRW/mth- Location: Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea- ZIP code: 06974NISC (Next
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: 10-25 Job Offer from July 04, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than
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of submission, Mitacs will contact participants about the outcome of the application. Travel must take place within a year from the date of the outcome. The intern provides the completed Mitacs Code of Conduct
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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, medical imaging, pathology, molecular biology, and biostatistics. The resulting international biobank of precisely characterised tumour samples provides the basis for countless research projects and opens
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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D