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control and cloud/HPC computing platforms. Familiarity with containerization (Docker). Ability to collaborate with multidisciplinary teams (e.g., biologists, clinicians, software engineers) and to
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qualifications: Experience in running large-scale analyses on Linux-based HPC clusters using job schedulers (e.g., Slurm) and/or on cloud research platforms (e.g., DNAnexus/AWS). Experience in analysing high
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of work: low-resolution algorithms, model optimisation with HPC techniques, edge computing, quantum computing, energy-efficient compact data structures, NLP optimisation. Justification of duration A
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include experience with high-performance computing (HPC), initial experience with ecosystem models, willingness and ability to actively contribute to interdisciplinary teams, knowledge of climate-relevant
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on materials science tasks as well as integrate your semantic-AI services into high-throughput GPU/HPC workflows, contributing to data management, metadata structuring, and semantic annotation Collaborate with