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Requirements Experience in the development of software solutions that allow the anonymization or pseudonymization of named entities and sensitive data. Machine learning/deep learning training. Good level of
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proficiency with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Strong foundation in machine learning, deep learning, and mathematics (linear algebra, probability, calculus, optimization
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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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, 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