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Systems Lab (https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI workflows. Responsibilities
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Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary research. Excellent interpersonal skills
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numerical models. • Perform simulations using OpenFOAM, or other relevant computational tools, including HPC platforms. • Analyse and validate simulation results, and publish research
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supports interdisciplinary research at the intersection of artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), and applied scholarship. Reporting to the Provost Fellow for
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computing (HPC) resources. • Preparing scientific manuscripts, reports, and contributing to research grant applications. • Managing research projects, including coordinating study activities, timelines
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sequencing is highly preferred · Experience with single-cell data analysis · Proficient in Linux/Unix-based high-performance computing (HPC) environments and job schedulers (e.g., SLURM or qsub
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of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
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Postdoctoral Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in computer science and high-performance computing (HPC
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with HPC (Linux, batch systems) and handling large simulation datasets (I/O, post-processing, analysis). Background in theoretical physics with at least basic knowledge of plasma physics and turbulence
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pipelines in R, Python and HPC or cloud environments. Collaborate with developmental biologists to interpret genomic findings, validate results and address key evolutionary questions. Support and mentor PhD