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form a committee that includes their primary thesis adviser and a second faculty member, with the option to invite a third external member to enrich the advisory process. Committees will meet at least
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, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge
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interoperability and always-on artificial intelligence. To achieve the vision, research will focus on improving the hardware for both 6G devices and space-based satellites, developing signal processing methods
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties. This project
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% of full time E13. The position is associated with the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by
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. Description This project will investigate how peripheral immune signals shape brain and brain-border immunity and drive neuroinflammation in synucleinopathies and other neurodegenerative diseases. The candidate
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of the University of Antwerp and the Brussels Center for Immunology at the Vrije Universiteit Brussel. Description This project will investigate how peripheral immune signals shape brain and brain-border immunity and
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measurement, four-point probe for resistivity, deep-level transient spectroscopy, and a semiconductor parameter analyzer. Job Description: The Department of Electrical and Computer Engineering (ECE
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ECTS. Applicants must have a grade of C or better on the master's thesis and have a grade point average of C or better for the master's degree. A more detailed description of admission requirements can
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that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co