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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
tasks include: implementing computational mechanics algorithms in Python and C++, translating existing research codes and numerical methods into a modern collaborative software framework, developing
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the PORTUGAL2030 Programme, under the following conditions: Work Plan and Objectives to Reach: The work to be carried out aims at the research and development of Computer Vision and Machine/Deep Learning algorithms
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processing software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL
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report on findings and opportunities for clinical and operational improvements Develop and maintain supporting documentation of measurement methods and algorithms, data sources, and reporting processes
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", specialises in applied research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and
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standard for modelling the composition and topology of digital services to support threat hunting and risk assessment algorithms; 2) to develop the software to automatically and dynamically discover data
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
individual-level data cannot be shared; (ii) designing bias detection and mitigation algorithms, such as fairness-constrained federated optimization and post-processing debiasing, applicable to tabular
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
tasks include: (i) developing federated data profiling and quality estimation algorithms that operate without centralizing sensitive health data; (ii) designing quality-aware aggregation strategies
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algorithms. Strong analytical and problem-solving skills. Strong communication, presentation and report-writing skills for both technical and non-technical audiences. Ability to work effectively both
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not intended as a deep theoretical approach to machine learning. Students will finish the class with a basic understanding of how to execute predictive analytic algorithms, as well as rigorously test