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fields, applying advanced techniques such as large-scale data processing and GPU-accelerated computing. Access to state-of-the-art research facilities and a new GPU cluster. Collaborative and inclusive
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
. Computing Foundations: software systems, programming languages, compilers, operating systems, software testing, software engineering, computer architecture, computer security, logic and verification, theory
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parallel scheduling frameworks and operates the Scalable Systems Laboratory, a cloud-native software testing platform for the NSF Institute for Research and Innovation in Software for High Energy Physics
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occupational/technical programs and university-parallel/college transfer programs. The Coordinator of Work-Based Learning (WBL) is responsible for developing, implementing, and managing work-based learning
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Requirements: The candidate must be able to demonstrate a deep knowledge of supercomputing software development for massively-parallel computer architectures, and expertise in working with large-scale software
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in our Cancer Research Facility. A level 3 technician will be expected to contribute intellectually to the driving of a project, and be able to parallel process 2-3 research endeavors. The HS Research
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within the Department of Electrical and Information Technology at Lund University, the Faculty of Engineering, LTH, works broadly with research within Cryptography, Computer Security, Wireless and Fixed
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program that trains a diverse group of students as the next generation of neuroengineers through integration and application of data processing, machine learning tools and artificial intelligence approaches
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the terms of the Code of Administrative Procedure. 12. Submission of applications: The applications must be exclusively submitted through the web page of this opening (https://sigarra.up.pt/fcup/pt
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computational experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to achieve mastery and excellence in running code written by other