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specialized through efficient fine-tuning and distillation to improve throughput in terms of both compute and data acquisition, while maintaining guaranteed performance on critical failure modes. This PhD
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The PhD programme in Innovation for Sustainability is interdisciplinary, applied and project oriented. It is suited for research and development work within private and public sectors as
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to establish and maintain an independent, extramurally funded research program and a record of scholarly productivity as evidenced by high-quality, peer-reviewed publications. For Associate Professor and
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host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods, and single-molecule live-cell imaging
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excellent communication skills - Motivation for scientific work and publishing - Fluency in German and English (Please note that English alone will not be sufficient for this position.) Responsibilities As
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embedded in the CCSS community. Nice to have Experience with viral genomics, phylogenetics, Bayesian or likelihood-based inference, infectious disease modeling, or high-performance computing. Additional
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Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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working in high‑performance computing (HPC) environments, and prior experience with post-training, fine-tuning, or training large language models (LLMs) is an advantage, but not a requirement. Experience
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energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join the ERC Synergy DISRUPT project to reinvent