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Field
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meaning from data. Designing machine learning algorithms and undertaking testing for: predictive maintenance. operational performance and cost optimization. failure prevention and timely reparation of Aids
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Professor positions in Quantum Mathematics with emphasis on pure mathematics with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. The targeted
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- your research will result in deployable system prototypes, cutting-edge algorithms, and publications in top-tier venues. You’ll be part of a collaborative environment that values innovation
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science experts, including PhD-level bioinformaticians and genomic scientists, software engineers, and HPC specialists. We enable and collaborate with physician-scientists to develop solutions in support of
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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to contemporary challenges while mentoring the next generation of leaders. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial
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specialization in Education and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine
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screening. Analyze experimental data and manage complex data science projects. Co-author publications and present results at meetings and to funding stakeholders. Required Qualifications* PhD degree and 5
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publications and present results at meetings and to funding stakeholders. PhD degree and 5 years postdoctoral experience required in machine learning and drug discovery. Ph.D. in systems biology, computational
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teams to codesign hardware, algorithms, benchmarks and software for QHPC systems, aiming to advance our strategic goals in leveraging quantum computing and high-performance computing (HPC) to develop