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mathematical ability Experience with symmetry analysis, group theory, or topological band theory Demonstrated experience in programming and contributions to open-source software Excellent communication skills
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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard
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/week) if supplemental grant funding is secured. Complete Job Description About the University: The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500
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Networks, and ICT Services & Applications. Your role The successful candidate will join the Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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career development activities including mentoring students and grant writing, and Participate in the Network Science Institute community by organizing talks, attending workshops, and contributing
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
biological effects, including changes in primary production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold
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. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes, primarily emphasizing hydrogen-based systems. As we move toward cleaner energy systems, the way we plan and
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cycle analysis and optimization is preferred. Smart, Connected, and Healthy Communities: Smart Mobility & Sustainable Transportation The Ezra Systems Post-Doctoral Associate on the track of Smart Mobility
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. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols for retroviral or lentiviral