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Knowledge of deep learning architectures, graph neural networks, or uncertainty quantification Familiarity with HPC environments Language Requirements: Applicants must demonstrate at least B2-level
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to support RNA-seq, single-cell, and spatial analyses; select and justify methods appropriate to each study design and dataset. · Operate effectively in high-performance computing (HPC) environments
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theses with outstanding grades, excellence scholarships, academic recognitions, authorship of research articles and/or reviews in indexed journals within biomedical research). - Experience working in HPC
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applications in either conventional (data center), high-performance computing {HPC), or cloud computing environments. Email to a Friend https://unmc.peopleadmin.com/postings/95230
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computing environments for advanced research. B2 Knowledge of scaling and optimising software to take advantage of GPU / HPC infrastructure. Skills Essential: C1 Excellent written and verbal communication
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in bioinformatics/multi-omics data. Excellent written and oral communication skills. Preferred Qualifications: Experience with cloud computing and high-performance clusters (HPC). Experience with
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for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive
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Experience with federated learning, trustworthy AI, privacy-preserving analytics Experience with cloud platforms or HPC environments Knowledge of regulatory and ethical considerations in AI
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supports projects spanning AI, environmental science, HPC, and data management, helping stakeholders turn ideas into impactful results. The QA Analyst will play a key role in ensuring the reliability
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to apply Website https://t.ly/I3glk Requirements Research FieldBiological sciencesEducation LevelUndergraduate Research FieldComputer scienceEducation LevelUndergraduate Research FieldEngineeringEducation