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verification, e-graphs and equality saturation, Infrastructure as Code, AI-assisted code generation and software development, software testing, local-first software, distributed systems, and CRDTs. The
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-training, adaptation, or evaluation Experience with agentic workflows, tool use, retrieval systems, or related AI systems Experience with large-scale datasets, distributed training, or high-performance
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cellular biology, including AlphaFold, RFDiffusion, CellCap, or related systems Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in
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-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based workflows. Prior experience in a research lab, including
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verteilten Systemen (Distributed Settings). Vertrautheit mit Cluster-Computing-Umgebungen (z. B. SLURM) und Linux-basierten Workflows. Bisherige Erfahrung in einem Forschungslabor, einschließlich Beiträgen zu
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modeling brain circuits and neural activity from large-scale, multi-regional recordings. Experience with large-scale datasets, distributed training, or high-performance computing environments. Experience
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, RFDiffusion, CellCap, or related systems. Experience with large-scale datasets, distributed training, or high-performance computing environments. Expertise in scientific applications of AI/ML in protein
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Employer University of Luxembourg Location Luxembourg (Canton), Luxembourg Salary Negotiable Closing date 12 Oct 2026 View more categories View less categories Discipline Computing Job Type Researcher
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training or fine-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based workflows. Prior experience in a research lab
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Übersicht Doctoral Position in Generative AI-Based, Computational Design Methods for Engineering Design 100%, Zurich, fixed-term Drucken The Engineering Design and Computing Laboratory has a fully