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. - Contribute to the development of risk-prediction tools, biomarker panels, and precision-medicine algorithms. - Participate in NIH-funded translational studies involving spatial multi-omics, proteomics
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of the observation receiver used to measure the transmitter output and extract distortion information. This position is part of the ERC Synergy DISRUPT project, which aims to develop new architectures for observing
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team
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This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design
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transport, supply chain and logistics modelling to contribute to the development and use of the MILES (Multimodal Integrated Logistics for Simulation) and MATRA (Multi-Agent Transport Resilience and
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to multidisciplinary project teams, and develop broader research and engineering skills through mentorship and project-based experience. As New Mexico’s flagship R1 research university, UNM offers a collaborative and
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growth. Develops innovative solutions and novel approaches to space systems challenges, including new communication architectures, radiation mitigation strategies, advanced control algorithms
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develop research projects for the Internet of Things for Precision Agriculture (IoT4AG) research grant Develop novel semantic mapping algorithms in the field of agricultural and forestry robotics to promote
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via bitbucket). Backup code on bitbucket and oversee the revision of the code to integrate with other algorithms. Algorithm development initially will involve solving problems such as: (1) base calling
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are: i) to develop a new selected CI algorithm allowing reaching chemically-accurate results for large compounds; ii) to extend the currently-available database to properties relevant for both core