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division in national and international research contexts Your Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and
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within the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python
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-informed reconstruction. Scientific track record with publications at internationally renowned venues in machine learning. Solid mathematical background, distinct analytical and numerical skills. Solid
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neuroscientists, bioinformaticians, mathematical modellers and software engineers. Your research will focus on developing ML- and AI-supported methods and tools to analyse heterogenous multimodal data
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Strong programming skills in Python; knowledge of R, Shell, and Linux is an advantage Experience with Git, Docker, CI/CD, and development of ML pipelines Experience with databases, APIs, and
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architectures, graph neural networks, representation learning, or large-scale training Strong mathematical and algorithmic background, with the ability to design and analyse novel machine-learning