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of Sydney. The successful candidate must have a proven ability to manage units of study with large to very large enrolments and to provide a positive learning experience in such units. The successful
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Job description: At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who
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leadership and management experience, ideally in directing a research institution or large scientific department Is committed to interdisciplinary research, technology transfer, and fostering innovation Has
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, workflow orchestration, and high-throughput data processing, as well as experience working with large biological datasets in GPU-based computing environments. What we provide: A competitive compensation
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, technology and administration as well as for the education of highly qualified young scientists. Ultrafast lasers are key to a large variety of research efforts at DESY. We are operating several of those
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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-learning IT user skills: MS Office Desireable knowledge in statistical analysis of big data Excellent command of written and spoken English (C1 Level), futhermore very good command of German (B2 Level) You
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, PostgreSQL, Linux systems, and containerization technologies. As the Systems Engineer, SEA, you will manage and develop large-scale genomic and proteomics databases, maintain and develop bioinformatics
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Job description: At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
of artificial intelligence and fundamental sciences. It focuses on developing a dual-track mentorship system, pioneering a research paradigm that merges scientific first principles with big data, and fostering