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publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and develop robust anonymization techniques that can balance privacy and data protection with data
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) Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable, systems development experience is an asset Hard
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The doctoral researcher will be working under the supervision of Professor Thomas Mastrullo. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of business law
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of the industry partner for a varying range of data types (both structured and unstructured data). The proposed solution aims to address the key challenge of balancing data utility with privacy by developing
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introduce new challenges in design and control. Their development is still largely bio-inspired and trial-and-error based. Integrating flight and actuation control in SAMs is particularly complex. DOMINANTS
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will be part of the Institute for Lifespan Development, Family and Culture: https://www.uni.lu/fhse-en/research-groups/institute-for-lifespan-development-family-and-culture/ Responsibilities: Obtaining a
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The doctoral researcher will be working under the supervision of Professor Picard. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of Quantitative Urban and/or
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research at the interface between biophysics, biomedicine, and computer science Simulate molecular dynamics of ion channels Predict variant-specific protein structures using AlphaFold Co-develop machine
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the development of the rule of law in the Global South. Being part of the project will allow the doctoral researcher to enhance his/her knowledge-base and experience; working on the various aspects
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group