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Information Systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, and Machine Learning/AI 5G on organisations from
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-driven approaches to health, society, and policy. BISI combines expertise in epidemiology, biostatistics, health economics, and machine learning to tackle complex societal challenges. BISI is actively
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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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problems in biology by combining machine learning with in-depth knowledge of biological processes. Who we are looking for You have a Master in Science (Bioengineering, Biochemistry-Biotechnology, Biomedical
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degree in biomedical sciences or related life science discipline We are looking for candidates with hands-on experience or a strong interest in spectral imaging techniques, confocal microscopy, and
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for candidates with hands-on experience or a strong interest in spectral imaging techniques, confocal microscopy, and bioinformatic analyses Experience in mouse work is highly desirable Interest in
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Department: Molecular Imaging – Pathology – Radiotherapy – Oncology Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with
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appointment) in digital text analysis, digital humanities, linguistics and literature, applied linguistics, communication sciences, computer sciences or similar. You have a background and/or strong interest in
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steel and cemented carbides Conducting the previously defined experiments in lab and production environment on Laser welding machines Optimizing testing procedures and conducting testing