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Software Engineering which will focus on Microservices Architecture and Cloud-Native Systems, offering an exciting opportunity for a dedicated researcher to contribute to cutting-edge studies in the field
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Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings
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FAccT, KDD, SIGGRAPH, ACM Multimedia) Strong written and verbal communication skills in English Strong background in mathematical modelling and analysis Proficiency in software implementation
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Environmental Sciences (CAES) has a rich history of innovation and application of cutting-edge technology. From our pioneering Laboratory Animal Science and Landscape Architecture programs to our award-winning
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upstream activities, such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis. For further
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is suitable for industrially scalable dry electrode processing. The successful candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while
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-supported and performance-driven design methods in architecture, available from 1st of March 2025 or as soon as possible thereafter. Your work tasks The PhD stipend is financed by Aalborg University as part
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
behaviors is particularly challenging due to inherent path dependence and the evolution of unobservable internal state variables. The objective of this PhD is to propose novel hybrid modeling architectures
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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by Supervisor. Job Requirements Master/PhD in Naval Architecture, Ocean Engineering, Marine Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS