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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding while maintaining clarity in the interpretation of results. Concurrently, AI-based methods are...
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both
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Do students receive financial aid? All doctoral positions are fully funded, including social benefits. Students also receive funding to attend conferences and other events related to their research, and have access to outstanding facilities. Do I need to know English? Yes, English is the...
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understanding the process? Visit our scholarship guide Application How to apply You must submit an application and include: Details about your (proposed) research, including those of (proposed) supervisors and
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process Public selection procedure is based on qualifications and on the interview. The Evaluation Committee will grade each candidate with a maximum of 200 points, divided as follows: - 60 points to grade
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gross amount of the scholarship is 17.355,00 €. Eligibility criteria Candidates must meet the following admission requirements: Master’s degree within the preceding 2 years. Selection process Public
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meet the following admission requirements: Master’s degree no less than 2 years. Selection process Public selection procedure is based on qualifications and on the interview. The Evaluation Committee
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Benefits The annual gross amount of the scholarship is 17.355,00 €. Eligibility criteria Interested candidates must have obtained a qualifying Master’s degree within the preceding 2 years. Selection process