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Field
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studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated. Strong applicants with backgrounds in applied and computational
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: Implements predictive models to identify cancer patients at high risk of thrombosis, leveraging both traditional statistical approaches and cutting-edge machine learning algorithms. Implements and refines NLP
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, the ML Engineer hired for this position will work with Benjamin Gyori at Khoury College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students
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priority will be given to candidates prepared to teach courses in Algorithms, Programming Languages, and/or Mobile Computing. Opportunities may also exist to teach Data Science or Mathematics courses
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, algorithm development, and data analysis. Why should I apply? This fellowship provides the opportunity to independently utilize your skills and engage with experts in innovative ideas to move the proposed
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to: Quantum Computing Theory Quantum Algorithms Quantum Networking for Distributed Quantum Computing (As opposed to QKD) Quantum Machine Learning Quantum Sensing Quantum Applications Quantum-safe or Quantum
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imaging instrumentation or image algorithm development. Individuals with expertise in ultrasound and photoacoustic imaging are strongly encouraged to apply. This is an ongoing recruitment. Positions
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to, the following: TELE 6510: Fundamentals of the Internet of Things TELE 5330: Data Networking TELE 6530: Connected Devices TELE 6500: Machine Learning Algorithms for Internet of Things Systems Qualifications: M.S
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Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured datasets Mentor junior data scientists and analysts