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field Strong programming skills (Python) and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with satellite data and geophysical modeling. Interest in physically informed
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knowledge of channel modelling and MIMO is a plus. Proficiency with Matlab or Python. Additionally, the applicant should have strong interpersonal skills and the ability to work in an international team. Type
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of working in a multidisciplinary, international consortium?Are you familiar with Python, MATLAB, or similar tools for data analysis and optimization?Are you eager to contribute to EU-wide goals on energy
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engineering or mathematical engineering Good understanding of statistics and machine/deep learning algorithms Interest in Biomedical data science Excellent programming skills in Python Proficient English, both
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strengthening the candidate’s profile, but not explicitly required: Prior knowledge of Ansys Fluent or similar; Python or MATLAB programming. Having published as (co-)author in a peer-reviewed journal. Earlier
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initiated research Advantages strengthening the candidate’s profile, but not explicitly required: Knowledge of machine learning and system optimisation; Python or MATLAB programming. Having published as (co
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in mechanical engineering, electrical engineering, computer science, AI, or related field, with outstanding study results. DESIRABLE REQUIREMENTS: Programming experience in Python, particular
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implementation constraints is a plus. Proficiency with Matlab or Python. Additionally, the applicant should have strong interpersonal skills and the ability to work in an international team. Type of work: 20
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at the KU Leuven, within the Biomed lab (https://biomed-kuleuven.web.app/research ) to develop new trustworthy AI algorithms for fracture detection based on novel photon counting CT technology. Particularly
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grades, awards, or led to scientific publications. Proficiency in Python is required. Experience with additional programming languages, such as MATLAB or C/C++, is considered a plus. Excellent English