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that can sense disease-associated features 2. Cell Therapies for Neuroinflammation and Neurodegeneration - Creating multi-modal cell therapies combining anti-inflammatory and regenerative payloads
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) to conduct cutting-edge, multi-omic and translational research in the field of inflammatory skin diseases. The successful candidate (m/f/div) will join our research group investigating fundamental biological
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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. The appointment is for one year, renewable for a second year given the availability of funds. The focus is on fundamental properties of simulated neural networks, like neural scaling laws, as they manifest in
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models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your job This position is embedded in a multi-institutional EU-funded project Intergenerational Open
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job This position is embedded in a multi-institutional EU-funded project Intergenerational Open Geospatial Carbon Registry external link (OGCR). The project is aimed at quantifying and mapping carbon
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- $80,034 based on experience. See Table [https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf ] for the salary range for this position. Application Window Open
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physics (e.g., Turing patterns). This will involve: (i) developing new analytical/theoretical tools for the study of reaction-diffusion systems, (ii) performing large scale, machine-learning-assisted
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence
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. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous