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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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machine unlearning. Machine unlearning strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct
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strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct original, high-quality research in trustworthy
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm