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Field
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
complexes, networks and regulators implicated in diseases using a combined approach of biochemistry, proteomics and cell biology, while being a contributor to advancing research projects supported by NIH and
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the advent of the Internet of Things (IoT), any sensor can be interfaced with a local network or the Internet. This massive deployment has created many security issues and associated solutions
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mathematical foundations of emerging digital twin frameworks, and the theoretical aspects of ML. Research & Algorithm Development: Develop advanced algorithms to predict complex health trajectories, simulating
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qualifications include: Proven ability to develop and apply complex in vitro or ex vivo test systems. Hands-on experience with microbial assays, biofilm models, and/or biomaterial characterization. Strong project
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higher education to address increasingly complex societal problems, such as climate change or the refugee crisis, which cannot be solved by individuals alone. Creative Problem-Solving (CPS) is a structured
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tailored for operations research problems. This role focuses on making significant contributions to understanding optimization and simulation models, particularly in scheduling, routing, and network flow
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data
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hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer