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master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
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quantitative approaches towards data science, including relevant developments in the field of geospatial data processing, photogrammetry, computer vision, and big data/machine learning. You have knowledge
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variables available across the DRC territory. Various methodologies will be considered like, for instance, machine learning approaches such as boosted regression trees. Once the predictive models will be
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will have obtained (close to the starting date) a PhD in Machine Learning, Data Mining, Computer Science, Information Systems Engineering, Informatics, Statistics, or a related discipline with a focus on
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. Teach possibly 1 course of up to 6 ECTS. Assist in the guidance of 2-3 PhD candidates on a similar topic. Lead or support grant writing for additional (postdoc) funding proposals. Supervise 4-6 MSc
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Description We are looking for several highly motivated PhD and/or postdoc candidates with a background in photonics and an interest in machine learning or in combinatorial optimisation, for several research
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languages, such as, MATLAB Toolbox, LabVIEW, DaisyLab, AutoCAD, C++….. Advanced knowledge in sensing technologies and measurement systems. Advanced knowledge in machine learning, deep learning and data fusion
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, Machine Learning Eligibility criteria The successful candidate will be expected to make significant contributions to the development of robust damage assessment tools for complex industrial structures
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processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial