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interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial intelligence / operations research. You are a team player with excellent social
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optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g., term rewriting) to algorithmic optimizations (e.g., group level algorithms), and to hardware
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., term rewriting) to algorithmic optimizations (e.g., group level algorithms), and to hardware optimizations (e.g., automated pipelining). The PhD student will be supervised by Nusa Zidaric. Key
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 2 months ago
for periodic reprocessing and extension to different regions; 2. Implement algorithms for the extraction and vectorisation of cartographic elements (e.g. administrative boundaries, transport networks, land use
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available under the following conditions: OBJECTIVES | FUNCTIONS Development and evaluation of machine unlearning algorithms for speech foundation models, including: - Selection and preparation of models and
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pages, including HTML, site structure, metadata, layout, and navigation 6. Keep abreast of the latest SEO trends and algorithms to ensure maximum effectiveness 7. Conduct usability testing to ensure
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 . Work plan and objectives to be achieved: flexREC aims to develop multiobjective algorithms to manage the charging
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domains. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and cognitive (e.g., shared mental models) processes. Design an
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Join TU Delft and work together with NXP to build low-power AI accelerators for self-healing analog/RF calibration, fixing noise/offset. Co-design algorithms & hardware and validate on real silicon
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interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth