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(python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches are not the focus of this project. The candidate is
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to engage with patients and real-world healthcare challenges.• Strong programming skills in Python; experience with deep learning frameworks such as PyTorch or TensorFlow is highly desirable.• Proven research
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(including Python, MATLAB or/and R) •Experience with neuroimaging (e.g MRI and EEG) and signal processing (e.g. wearable sensors) is valuable, but is not a prerequisite.•Strong analytical and problem-solving
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languages such as Python and C++ Numerical optimization. A four-year doctoral scholarship and, if successful, a PhD in Engineering Technology. A competitive salary and additional benefits such as health
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visual designs. Solid proficiency in Python; knowledge of SQL (NoSQL experience (document and graph databases) is an asset). Interest in visual design and communication of data, beyond default plotting