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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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accordance with the Boston University Postdoctoral Compensation Guidelines and the Postdoctoral Scholars Policy. To be considered, applicants must hold a PhD in epidemiology, biostatistics, computational
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, quantum cryptography, quantum program verification, quantum machine learning, etc. ● Within the predetermined research scope and methodology, conduct research experiments in the field of Quantum
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fields. Strong programming skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. Interest in Speech/Language Processing and its application. Know-how
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strategies in psychiatry. This research combines recent advances in machine learning and cognitive neuroscience to contribute to future clinical tools for diagnosing and monitoring neuropsychiatric disorders
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, national, and international meetings, and reading current primary literature. Provides a friendly working environment and be available to teach laboratory techniques and scientific methodology to research
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and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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machine learning, generative models, or data science methods; Engaging with public outreach activities and supporting MSc and PhD students’ supervision as requested. Job requirements Essential Requirements
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must hold a PhD in astronomy/astrophysics (awarded within the last 7 years), with experience in stellar astrophysics, survey data analysis, or machine learning, and strong programming skills