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protocols and University policies while optimizing administrative workflows. Supervises daily operations across OFD project teams; in coordination with the Faculty Director and Chief of staff, establishes
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, United States of America [map ] Subject Areas: applied mathematics ,financial engineering ,technology, urban science, urban engineering management Appl Deadline: 2026/01/04 11:59PM (posted 2025/12/07, listed until 2026/06
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
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. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits, at least 60 of which must be in advanced
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
close collaboration at all stages of a research project exploring applications of deep learning and artificial intelligence to dynamic portfolio optimization problems. This position offers the opportunity
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project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new generation of protein therapeutics
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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
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research experience, preferably in programming languages, compilers, applied mathematics, and optimization techniques a strong background in compiler, code generation, and machine learning would be
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design and optimization of hydrogel coating systems. The innovation lies in establishing a closed-loop workflow specifically for interfacial mechanics, with multi-scale integration and physics-informed