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Field
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position within a Research Infrastructure? No Offer Description The position targets the design and evaluation of novel architectures, programming paradigms, and parallel algorithms for AI accelerators
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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these codes in C++ or Fortran Adopting these codes for multiple-CPU and/or GPU platforms via parallelization schemes. Validating these codes via canonical and real-world examples. Job Requirements: PhD in
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. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3 administrative
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PhD research. The Graduate Teaching Assistant (Student Support) role is a developmental opportunity in parallel with PhD study and requires ongoing PhD registration as a condition of employment for
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build reliable, reproducible data flows for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing
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). The postholder will have a PhD in speech science, speech technology, linguistics, data science, computer science or related discipline. Ideally, they will have experience in working with large datasets of speech