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Field
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software engineering. • Track Record: Strong publication record in leading machine learning, artificial intelligence, data science, or evolutionary computation venues (e.g., ICML, ICLR, NeurIPS, AAAI
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses
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; lip-sync and audio-visual synchronization; evaluation of factuality, citability, WER, MOS and latency; software engineering, version control, containerisation or development pipelines; technical
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, Transformers, Python, PyTorch and/or TensorFlow, multimodal fusion); Active and semi-supervised learning; Software engineering for R&D (Git, reproducible environments, large-scale data pipelines). Exclusive
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, collect and analyze data using appropriate analytical tools and software. Work with interdisciplinary teams including clinicians to integrate microfluidics chips with complementary technologies, such as
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and progressive streaming; performance and visual-quality evaluation (P50/P95, LPIPS/SSIM, thermal stability and audio-visual drift); software engineering, version control, containerisation
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. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python). Supervisory
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
used to inform and enhance FAA’s existing pavement design tool FAARFIELD and other software programs, design and construction advisory circulars (ACs) such as FAA’s AC 150/5320-6G Airport Pavement Design
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professional qualification in civil/maritime/ocean engineering, geography, oceanography, marine sciences, geology, archaeology, or other, with experience in advanced GIS software for data management, processing
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PhD in a related discipline. Has at least 3 years’ research experience in evidence synthesis. Has a publication record commensurate with stage of career. Has experience of using statistical and software