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data management and machine learning is also preferred. An interest in energy system topics such as the green transition, sustainable energy systems, digital energetics etc. is preferred. Experience
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the design of antibody modalities Documented experience from cancer-related research Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies
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technologies, such as low-power long-range (LoRa) and high-throughput, low-latency technologies (5G). In the context of machine learning, communications play a central role in data sharing and in the decision
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related field Solid understanding of machine learning, especially deep learning and transformer models Practical experience with Python and ML frameworks (e.g., PyTorch, HuggingFace, NumPy, sklearn) Basic
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validate adaptive mechanisms for LoRaWAN based on machine learning techniques, targeting improved reliability and energy efficiency in mobile scenarios. To achieve this, it is necessary to go beyond
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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Posting Summary Logo Posting Number RTF00073PO26 USC Market Title Administrative Assistant Link to USC Market Title https://uscjobs.sc.edu/titles/156179 Business Title (Internal Title) Office
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Apr-26 Location: Walla Walla, Washington Type: Full-time Categories: Academic/Faculty Computer/Information
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single‑cell omics, AI machine learning, and translational biology. The role involves collaboration with academic research group(s), with a strong focus on bridging advanced computational methods
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.Developed understanding of computer architecture, operating systems, and data structures. 2.Developed understanding of software engineering best practices. 3.Developed analytical, critical thinking, research