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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
models. - Experience in integrating multi-omics data from tumors and preclinical models. - Familiarity with training or fine-tuning large-scale models (e.g., LLMs, foundation models, etc.). Special
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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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, and advanced data analysis. This role is part of a large-scale, multi-institutional consortium study aimed at uncovering novel insights into the genetic and molecular underpinnings of neurodevelopmental
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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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- $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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Position overview Position title: Postdoctoral Scholar in Materials and Detector Physics Salary range: Commensurate with qualifications and experience. The posted UCSC salary scales set the minimum
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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 1 month 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 successful candidate will join a collaborative, multi-institutional research team advancing the understanding and design of enzymatic transcription reactors and lipid nanoparticle (LNP) formation systems
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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