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researcher to contribute to the advancement of patient-specific computational modelling of skin growth for applications in breast reconstruction. The successful candidate will lead the development of high
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of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and financial models
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led by Dr. Mañas, especially in the paediatric avatars project, focused on the creation and characterisation of patient-derived models (in vivo and in vitro) and their use as avatars to develop new
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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determination, computer-aided calculation and modeling of the thermophysical substance values of fluids is a fundamental-oriented research focus at the Professorship of Thermodynamics. In this context, devices
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to understand representational drift and inter-areal communication in the brain. We use a combination of in vivo calcium imaging and Neuropixels recordings as well as computational modelling techniques
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the past decade in this region, it can be used as a model for arboviral diseases. The project will develop an interdisciplinary modeling approach at the interface of climatology, geomatics, and eco
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Nordic Model for Integration of Advanced Assistive Technologies (ROBOWELL )”, funded by NordForsk and Novo Nordic Foundation (grant agreement 226198). The project aims to develop a proposal for a Nordic
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. Recent progress in text-to-image generation, fueled by diffusion models and large-scale training, has greatly improved image synthesis aligned with textual prompts. This project, however, focuses on a
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 5 hours ago
Posting Description LICENSED INDEPENDENT CLINICAL SOCIAL WORKER (LICSW), MIT Health, provides individual and group counseling to undergraduate and graduate MIT Health patients within a team model