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into a wide range of key technologies such as distributed IT systems, the Internet of Things (IoT), cybersecurity, data science, artificial intelligence (AI), blockchain technologies, quantum and
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within a European consortium. Subject description Cyber-Physical Systems focuses on integrated software and application architectures with implementations of massively distributed embedded systems
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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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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 7 days ago
:
- compiler frameworks (LLVM, MLIR)
- embedded software development
- computer and accelerator architectures
- parallel and distributed computing
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current or future Marketing Cloud subsystems, including Marketing Cloud Intelligence, Distributed Marketing, and Interaction Studio. Ensure alignment of Marketing Cloud operations with UFA and UF
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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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involved in and contribute to related ongoing projects. Your main tasks will be to design, develop, and validate methods for Distributed Acoustic Sensing (DAS) and hydrophone systems for Arctic, marine
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conventional grid measurements can be combined with non-traditional information sources, including information from distributed energy resources or physical surveillance data to maintain a continuously