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Field
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algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale
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-time inference within rendering pipelines Minimum Qualifications: • Ph.D. in Computer Science, Visual Computing, Interactive Media, or related field • Strong C++ and/or C# programming expertise
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biology, biomedical data science, or related analytical methodologies is highly desirable. Experience with software development, cloud computing, data engineering, algorithm design, or scalable
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Qualifications High-performance or cloud computing experience. Experience with large data sets, including spatial data, administrative data, or consumer data. Benefits Yale offers an excellent and
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Exoplanet Clouds Employer Max-Planck-Institut für Meteorologie Location Hamburg (DE) Salary TVöD E14 Closing date 23 Aug 2026 View more categories View less categories Discipline Computing
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, contrastive learning, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical
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integration, high-dimensional immunology datasets, development of reproducible bioinformatics pipelines using workflow-management and containerization tools, or high-performance or cloud computing for
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projects and working with transportation agencies (city DOTs, state DOTs) or private vendors. · Familiarity with reproducible research practices, CI/CD for ML, and cloud computing (AWS/GCP
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interpret various geospatial datasets and perform fieldwork aboard small and large vessels, as required. Knowledge of programming languages, platforms, software libraries, databases, cloud computing
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical