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analytical, numerical, and problem-solving skills. Strong programming skills in Matlab, C/C++, or Python. Hands-on experience with deep learning platforms (e.g., TensorFlow, PyTorch) is advantageous
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CST Microwave Studio, Ansys HFSS and/or Matlab. Application Process Application deadline 9th February 2025. Interested applicants should email their CV and Academic Transcripts to Dr. Shaker Alkaraki
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are essential. Strong skills in using ANSYS fluent, Python, Matlab or similar coding software are desirable. The studentship offers exciting research based in the Department of Architecture and Built Environment
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learning in space research. Proficiency in coding languages such as MATLAB, C/C++, Python, or similar is essential, alongside excellent communication skills and the ability to collaborate in an international