171 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Belgium
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of competitive research proposals. You should have experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. YOUR TASKS You will conduct scientific
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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(including pig) and tissue fluent user of computer software (e.g., Microsoft 365, SPSS/Prism, EndNote,…) flexibility to learn new skills and develop novel approaches for analysis ability to work independently
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predictive microstructure imaging with MRI. Within the ADAMI project, you will help develop an innovative approach to predict the cellular composition of brain regions in MRI datasets based on in toto light
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Within
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reconstruct original polychrome appearances and generate knowledge that will support future research, including the development of safe conservation and stabilisation strategies for these fragile surfaces
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holder in the field of electrocatalytic conversions for the nitrogen value chain to strengthen the research team ELCAT (Applied Electrochemistry & Catalysis). In this context, you will develop novel
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. You will publish scientific articles related to the research project. You will collaborate closely with another PhD student in the same project, responsible for the development of the perception system
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flexible, high-fidelity and scalable approach to biomimetic airborne sonar. You will be responsible for the implementation and development of biologically inspired echolocation systems for aerial robots