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data analysis and develop sophisticated mathematical models for simulating power system behaviors under various scenarios. Development and Testing: Design and develop control algorithms to enhance grid
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on the investigation of the mathematical foundations and regularities of many-body quantum systems. In alignment with our commitment to promoting gender equity in research, we are pleased to announce a distinguished
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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experts, including Dr. Dr. Sanket Rane (Columbia University, NY) specializing in mathematical modeling, Prof. Benedict Seddon (University College London) focusing on lymphocyte development and homeostasis
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degree in Computer Science or Mathematics. - an interest in machine learning and game theory. - excellent communication skills in English. If you fit this profile, like challenging tasks, and are
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, support lab courses, and supervise student research. Your profile: Above-average master’s degree in computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
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to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements
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analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD