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optimization of novel antiviral molecules using computational and structure-based approaches, contributing to the development of innovative therapeutic strategies against WNV and other emerging flaviviruses
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, networking, and signal processing. You have at least intermediate knowledge of machine learning algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or digital
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more sustainably. While business processes are traditionally optimized for efficiency, cost, and quality, organizations are now expected to actively manage their environmental footprint and social impact
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of Science and Technology, University of Coimbra. I.3. Job description: integrate, adapt, and optimize open-source orbit determination software to process radar and optical data accurately and efficiently
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conditions, controlling sound masking systems, optimizing audio playback levels, and supporting other acoustic interventions to improve occupant comfort and building performance. The research will adopt a
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and its supporting infrastructure • realize on-chip pulsed DNP • design microwave pulse sequences for on-chip DNP using spin physics, numerical simulation tools, and quantum optimal control
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 22 hours ago
. Knowledge in differential geometry, representation theory, and mathematical optimization is a plus but not required. High motivation, enthusiasm to work within an international team as well as strong
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its inverse reconstruction. A key challenge is the data-driven design of the experimental setup: exploring how the choice of measurements and configurations can be optimized to extract the most useful
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deploying the face de‑identification pipeline on resource‑constrained hardware, optimizing the underlying AI models based on latency, memory, and power constraints, and building demonstrators that showcase
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic