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, data poisoning, and privacy breaches. This involves building inherently robust systems and developing new defense mechanisms. Fundamental Theory of Deep Learning Empirical success must be supported by a
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this short-term project we will use active learning to accelerate the training of deep learning algorithm to optimize 2D material Van der Waals structure discovery. Main Tasks and responsibilities: The person
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and deep learning models, including recurrent neural networks (RNNs), transformers and embedding techniques (Word2Vec, GloVe, BERT). Designing and maintaining data processing pipelines for model
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, Telecommunication Engineering, or similar Essential Knowledge and Professional Experience Demonstrated experience with AI and deep learning techniques, particularly in archaeological or remote sensing contexts (e.g
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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug