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Field
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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to work in collaborative multi-institutional teams with senior and junior scholars. Strong foundations in information theory, communications and applied probability are required. Clear writing and
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includes, but is not limited to, mentored research, grant writing, and teaching experiences. Discipline: Measurement Theory and Statistics Location: University of Maryland School of Pharmacy, Baltimore, MD
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communication skills to collect empirical data, as well as knowledge of the dominant paradigms, theories, and empirical methods applicable to the topics mentioned above. Candidates who have strong knowledge and
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29 Aug 2025 Job Information Organisation/Company Institute of Czech Literature of the Czech Academy of Sciences Research Field Literature » Other Researcher Profile Recognised Researcher (R2
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, government, the pharmaceutical industries, and consulting. Training includes, but is not limited to, mentored research, grant writing, and teaching experiences. Discipline: Measurement Theory and Statistics
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 14 hours ago
been extensively studied in game theory, reinforcement learning, and optimization, their full integration into modern AI systems (particularly in multi-agent deep learning and human-AI collaborative
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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of mathematics or physics are encouraged to apply as well: (mathematical) foundations of quantum mechanics, quantum information theory, quantum field theory, operator algebras. Personal suitability for the post
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to data analysis, and contribute to the objectives of the STFC Gravitational Wave Consolidated Grant “Precision Gravity With LIGO-Virgo-Karga” (PI: T Sotiriou, Co-Is: M Bezares, S Green, L Sberna) and/or