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implementations for compression, heterogeneous quantization, etc - reproduce state of the art network parameters with extreme quantization and compression of parameters - design and implement next-generation
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(Sensor Informatics and Decision-Making for the Digital Transformation). Read more about the Competence Center here: https://liu.se/forskning/seddit . The focus of this specific PhD project is to explore
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: Study and continuous development of fatigue testing equipment under uniaxial regimes (tension–compression; torsion
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model pre-training and multimodal adaptation to architectures and compression for edge deployment while targeting real-world validation in domains like HealthTech, smart industry, and autonomous mobility
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been
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, under the scope of a term contract, with a termination date undetermined, overseen by Portuguese Labour Code. Job description: Contribution in WP3 Task 3.3 aiming to define compressed sensing algorithm
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27, 2026. 16.2. Applications must be formalized in the online application submission system, available on the FMUP website: https://sigarra.up.pt/FMUP/pt/CNT_CAND_GERAL.CONCURSOS_LIST (Ref. 2026/10
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website for details: https://www.ifsw.uni-stuttgart.de/en/institute/vacancies Summary of titles and host institutions for the 15 PhD positions: FELLOW 1 (IFSW, Stuttgart, Germany): Design and
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energy consumption, and 70% of heating is still met by fossil fuels[[1]](#ftn1). Heat pumps are a key enabling technology for decarbonization, but conventional vapor-compression systems face significant
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. Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques. Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical