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Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop
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, transforming, and managing structured and unstructured data. Extensive experience working with high-performance computing resources, including utilizing job schedulers, parallel programming, and managing
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, transforming, and managing structured and unstructured data. Extensive experience working with high-performance computing resources, including utilizing job schedulers, parallel programming, and managing
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integration of novel computer architectures for advanced edge computing scenarios. The research involves design space exploration and the implementation of digital systems using FPGAs, with potential for
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, and reproducible code development skills; distributed or parallel computing is a plus. Experience designing and executing field experiments in urban or environmental settings, with willingness to
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(Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient and scalable model deployment. Skilled in
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quickly and functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed
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contribute to analyses and processing of data. They will become familiar with high performance computing environments and parallel processing, as well as cloud computing infrastructure. They will
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processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing. o Experience in microbiome and system biology studies related to
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 1 month ago
and his team to help manage the data application, storage and transfer, and package the developed tools for Linux/Mac/Windows platforms, accelerate the program with parallel computing techniques