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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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to several projects to improve radiation tolerance and reduce temporal noise of CMOS image sensors. Together with the supervisor (prof. Meynants), you will guide PhD researchers in image sensor design and
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information see https://www.kuleuven.be/personeel/jobsite/jobs/60473129 Job description Design and implement chemometric and machine learning models (e.g., PCA, PLS-DA, clustering, CNNs) to classify
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: In vitro and/or in vivo phage display; Cloning, engineering, expression, purification and characterization of VHHs. We invite applications from dynamic individuals with a strong drive for innovation
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technologies to unravel macrophage-driven mechanisms in early stages of neurodegeneration. Collaborate closely with team members to analyse and integrate cellular, molecular, and spatial insights. Design and
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technologies to unravel macrophage-driven mechanisms in early stages of neurodegeneration. Collaborate closely with team members to analyse and integrate cellular, molecular, and spatial insights. Design and
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the European Union, develops simulation approaches, machine learning tools, and characterization techniques for the accelerated design of novel battery materials. KU Leuven contributes with the following two tasks
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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media formats, including television, film, digital platforms, and live events. Technology and Innovation: Exploring the role of emerging technologies in enhancing media accessibility. This could involve
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Post-doc eligibility criteria Required Skills Minimum 3 years hands on experience with complex flow cytometry is required, including panel design, testing, troubleshooting and analysis Experience in