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to the public. Follow Ph.D. training courses. Participate in the day-to-day life of CNAP (e.g. research meetings, Round Table Meetings, seminars, social activities). Develop a solid background in pain
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system development and empirical evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in collaboration with a leading architectural firm. The
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. degree in computer science, mathematical engineering, mathematics, or similar; - Solid mathematical and analytical skills, including mathematical optimization and information theory; - Solid
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. The candidate should ideally have experience or interest in one or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning
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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
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research ideas, and to have solid mathematical foundations, such as in linear algebra and relational algebra, to support the design and analysis of your algorithms. You should be curious, motivated, able
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profile and an interest in developing new AI models for high-dimensional biological data. You should have a solid foundation in areas such as machine learning, applied mathematics, statistics
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the following qualifications: M.Sc. degree in either automatic control, mathematical engineering, mechanical engineering, mathematics, computer science or similar. Solid mathematical and analytical
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or BSc + one year of Master Studies in mathematical engineering, mathematics, computer science, electrical engineering or similar. Solid mathematical and analytical skills, including optimization and/or