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qualifications: Ph.D. in Forest Resources Experience working with lidar data and appropriate algorithms Experience with GIS and remote sensing Knowledge of natural resource science as it applies to forestry Pay
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systems. Responsibilities include: Integration of advanced sensing technologies with continuum robotic systems and development of associated sensing and estimation algorithms Path planning based on medical
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algorithms. The aim is to develop a high-performance intelligent motor control system that enables greater sustainability, safety and efficiency of the e-bike's energy system, in order to meet the requirements
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Specific Responsibilities/activities: Maintaining long-term observational capabilities Participating in intensive field campaigns Designing novel tailor-made algorithms and inversion methods Combining
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implementation of security provisioning algorithm in DFL environment Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » Communication
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to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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Description Evaluation of the robustness of ML algorithms executed on a non-hardened accelerator through circuit-level fault-injection The project addresses the challenges of deploying AI applications
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of algorithms for each use case and foundation model. The latter tasks will involve close interaction with the partners responsible for the development of the language models and the partners responsible
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R. · Programming of automated species identification algorithms. · Creation of a database of photos and videos with species identification. · Identification of bird species by listening to bird song