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Field
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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. Provide technical support for investigation and development of image analysis for object detection and tracking. Participate in the software development and integration of multi-sensor systems
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logistics. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including
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digital electronics, data acquisition systems for detectors and sensors, signal processing, and high-precision analog solutions. We are looking for an experienced Electronics Engineer to strengthen the team
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 1 day ago
Institute is seeking a motivated and qualified candidate for a fully-funded PhD scholarship. The preferred candidate should have strong programming and data science abilities, with experience in sensor
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systems and to develop new dynamic retasking algorithms for heterogeneous sensor networks. The successful candidate will be a creative, hands-on experimentalist who enjoys system integration and problem
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computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and
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settings. Our project focuses on knitting of functional yarns through which knitted wearable with sensors and electronics are achieved in a single knit. Our knitted wearable solutions aims for real world
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor