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on the design, development, modification, and evaluation of software systems, programs, and algorithms for intent-based networking, secure routing, and secure Internet-based services and applications developed in
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. Demonstrated experience in python, R and MATLAB, and developing AI algorithms. The required experience could have been obtained during graduate studies. Are you ready to unleash YOUR potential? As a next
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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and model outputs to ensure data integrity, label accuracy, and fitness for intended use Collaborate with research scientists, algorithm developers, and program stakeholders to identify, acquire, and
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are searching for a highly motivated and experienced Electronics Research and Development Engineer to join the Embedded Systems team of the Applied Research Laboratory (ARL) at Penn State. Our mission is to
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and fluctuating electricity prices, the main objective will be to develop a control-oriented model and algorithm to alter the lighting, CO2 dosing, and air circulation that satisfy the crops' needs
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to new developments. The candidate will join the System Software Group , and study the performance and scalability characteristics of adapting scientific simulation software to current and future
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, Princeton University's Research Computing department is recruiting a Senior Research Software Engineer to join its RSE Group and the Space Physics Group in the Department of Astrophysical Sciences. In
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
things, IT develops instruments for ground-based observatories and for space missions. We are looking for a member of the software development team within the technical departments on a fixed-term contract
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of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software to new developments