25 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions at Harvard University
Sort by
Refine Your Search
-
, writing, and fine-tuning code for structural model simulation, with a focus on computational performance. Most of the code will use the Julia programming language • Non-linear estimation and other
-
psychological assessments. Training in professional skills development will also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees
-
network. This includes DARPA program managers and research performers from leading universities, commercial firms, and non-profit R&D organizations. For early-career civilians, the Innovation Fellowship
-
have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
-
. This position is specifically targeted to candidates interested in computation in recurrent neural networks and is funded for multiple years by the NIH. Responsibilities: Successful candidates will conduct
-
-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
-
to reduce impurities in water. His existing contacts and excellent local networks will allow him to transfer these methods to his country of origin. Examples of applications that were rejected by the Georg
-
allowance if applicable, family, long-term leave and special needs allowances In addition, funding is provided for research, training and networking activities management and indirect costs
-
USA - MA - Cambridge Job Code 405013 Administrator (N) Work Format Hybrid (partially on-site, partially remote) Department Center for Public Leadership Union 55 - Hvd Union Cler & Tech Workers Pre
-
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