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- NTNU Norwegian University of Science and Technology
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develop computational and structure-guided approaches to understand immune recognition and design next-generation vaccines against respiratory pathogens. Our work integrates computational protein design
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the Hardware Reverse Engineering Laboratory (HRE Lab) at NTNU, together with its hardware analysis and reverse-engineering capabilities. The candidate will design and conduct controlled experiments
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of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages). Possibly publications etc. other relevant research work. Possibly
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. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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://www.uni.lu/en/admissions/diploma-recognition/ and https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html · Hired PhD candidates must self
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information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition Where to apply Website https://www.it.pt/ Requirements Research FieldEngineering » Electrical engineeringEducation LevelPhD
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
interdisciplinary exchanges. Contribute to an open-source platform (Artemis) and publish in international conferences and journals. Gain recognition in a rapidly growing field, with career prospects in academic
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for Multiscale Offshore Structures), which develops integrated AI methods for the analysis, design, monitoring, and control of floating offshore systems. Multi-modular floating structures are emerging as a
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with the project team; 2. Choice of technology; 3. Prototype development; 4. Design of prototype evaluation methodology; Execution of the evaluation and analysis of results; 5. Correction of any
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits