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Program
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Field
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designing foundation models and conducting post-training workflows, including work with LLMs and VLMs. Proficiency in Python and its ecosystem of AI/ML frameworks and tools. Strong familiarity with HPC and AI
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solutions for HPC, cloud-based research platforms, and large-scale data management. Research Data Lifecycle and FAIR Principles: Deep understanding of research data management, open science, and compliance
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: Design hierarchical models that explicitly capture misspecifications in metabolic models Develop differentiable and scalable inference algorithms using automatic differentiation Implement HPC-tailored
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of this document online: https://sdrive.cnrs.fr/s/Lcp3L3Xb2ZQ2xpm Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7371-DMITOD-002/Candidater.aspx Requirements Research FieldNeurosciencesEducation
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programming (e.g. Git) and hosting (e.g. GitHub). Experience in HPC environments, including Slurm and container systems (e.g. Docker or Singularity). Experience in Nextflow or similar workflow managers
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deliver the digital platforms that underpin world-class research. About you You’ll have extensive experience in High-Performance Computing (HPC), Data Storage or Research Systems Admin, ideally gained in
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-Performance Computing (HPC). The postdoctoral researcher will have opportunities to engage in these areas in support of physics goals. Key responsibilities Lead and contribute to ATLAS physics analyses Develop
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international research program in East Africa and a vibrant community forum for clinicians and researchers. Dr. Lee’s research group (https://sulggileelab.ucsf.edu/), housed within the division, focuses
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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-performance computing (HPC) workflows. • Support software installation and user support, monitoring and optimizing RAID storage systems, and manage large datasets generated on HPC systems and stored on group