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: Documented experience in the development and optimization of scientific software for GPU-based computing platforms. Experience with programming using CUDA, HIP, SYCL, OpenACC, or equivalent technologies
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monitor Slurm-based training and evaluation jobs Debug failures related to distributed execution, checkpointing, filesystem performance, networking, and GPU utilisation Help maintain reproducible
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science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed
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. Qualifications: An MS degree is required. A background in computer programming, whether through formal Computer Science training or applied experience is required. This individual should have
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) environments, GPU-enabled systems, and cloud-based resources for large-scale data analysis and model development. Using these rich data resources, we develop and apply advanced AI/ML methods to model tumor
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, Biomedical Informatics, or a related quantitative field. Strong programming skills in Python and/or C++. Peer-reviewed publication record appropriate for career stage. Ability to lead independent
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systems • Strong computational background Preferred Qualifications • Experience with GPU programming, shaders, or advanced rendering techniques • Experience integrating external APIs or live data
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, Biophysics, or a related discipline with experience in biomolecular simulation techniques, and programming/scripting (Bash,Python) Preferred Qualifications The candidate should have demonstrated
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biomolecular simulation techniques, and programming/scripting (Bash,Python) Preferred Qualifications The candidate should have demonstrated experience in molecular modelling, particularly in the areas of
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time-series data Experience of high-performance computing, GPU-based computing, or parallel programming Experience of probabilistic modelling or inverse problems Experience of developing and