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or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design Previous collaboration with experimental biologists
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performance computing using SLURM or LSF Experience with PyTorch, JAX, or Tensorflow Experience with NVIDIA CUDA and related OpenMP programming Experience with cloud services (AWS, GCP, Azure, etc) Experience
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The Faculty of Engineering, Department Elektronica en informatica, research group Electronics and Informatics: Research – Development - Innovation, is looking for a postdoctoral researcher. More
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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that include high-performance clusters with 7,440 total CPU cores, 11 petabytes (PB) of network-available storage, and 334 server systems. GS-IT also manages extensive shared computing resources, provides cloud
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diseases. Additional details about the lab can be found at http://ismagilovlab.caltech.edu/ Essential Job Duties Assist graduate students, postdocs, and research staff with bioinformatics/computational
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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decisions are made under pressure, and how technology can support (rather than hinder) patient care. The postdoctoral scholar will use modern data science tools and cloud computing to analyze high-dimensional
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. Structural biologists at KCL have access to the e-Research/CREATE high-performance computing cluster (HPC) (docs.er.kcl.ac.uk) at King’s and associated research data storage (RDS) managed by e-Research. About