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collaboration with industry? The Department of Electrical and Computer Engineering at Aarhus University is looking for a R&D Engineer (TAP) position from April 15, 2026 or as soon as possible. This is a fixed
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recent introductions of exotic species into France via migratory birds highlight the risk of pathogen emergence and the restructuring of infectious networks. This PhD project aims to characterize
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3 Mar 2026 Job Information Organisation/Company UNIVERSITE LE HAVRE NORMANDIE Research Field Computer science » Computer systems Computer science » Database management Computer science » Modelling
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people. By embracing diversity, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Cultural Heritage Technologies (https://www.iit.it/it
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age group in France, from new comprehensive community surveillance system RELAB, vi) studying how heterogeneous contacts in a population can affect estimates of variant growth advantage. Successful
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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are required to write programs, develop network security plans, install tools in the field of network security, build and maintain secure networks, defend computer networks from outside attacks, and demonstrate
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California State University, Long Beach | Long Beach, California | United States | about 13 hours ago
Engineering or a closely related field. Areas of expertise may include, but not limited to, cybersecurity, computer and network security, hardware and embedded system security, cryptography, privacy-preserving
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. Additional Qualifications: Knowledge of machine learning tools such as penalized logistic regression, XGBoost, neural networks. Knowledge of modeling strategies including propensity score weighting and doubly