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Field
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Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience programming in algorithm level languages such as Matlab/Simulink, Python or similar . 3. Demonstrated
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algorithms, bioinformatics, computer vision, human-computer interaction, machine learning, computer graphics and VR, cyber-physical systems, computer networking, and cybersecurity. Required materials include a
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algorithms and program Building Automation System (BAS) computers in close coordination with the Director of Systems/Energy Engineering. Modify existing, and create new BAS object definitions, based on control
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. Collaborate with JGI scientists and researchers across Berkeley Lab, including the Computational Research Division, to evaluate and implement new methods and algorithms that enhance system capabilities and
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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, and ways of applying such foundational analysis for quantum technological or social benefit (e.g., through designing protocols or algorithms for, or building understanding of, quantum computing
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or Mathematics, Computer Science or another quantitative field, but higher qualifications (Master’s or PhD) is preferred. Excellent knowledge of at least one of the following scripting/programming languages
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, algorithms, or computer science courses. Strong understanding of core data structures (e.g., arrays, linked lists, stacks, queues, trees, graphs, hash tables) and algorithms (e.g., sorting, searching, dynamic
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 20 hours ago
Department/Unit Pathology Location Halifax, Nova Scotia, Canada About the opportunity Dalhousie University, Faculties of Medicine and Computer Science Canada Research Chair (CRC) Tier 2 in Biomedical Data
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algorithms and data structures. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Ability to develop and implement AI models for business applications. Knowledge of cloud computing