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our research team in cryptography. The ideal candidate will have a strong background in mathematics, computer sciences, engineering, or a closely related field. The candidate must be highly motivated
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optimizations and approaches inspired by machine learning within the framework of cognitive radar; and C) verify the developed approaches with suitable simulations and experimental demonstrations. Specifically
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, combining experimental approaches (single molecule fluorescence and biochemistry) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning
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will work closely with the other PhD candidates and researchers who are part of the HLAS project. Moreover, the project offers a unique opportunity to work in an international environment and to acquire
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will work closely with the other PhD candidates and researchers who are part of the HLAS project. Moreover, the project offers a unique opportunity to work in an international environment and to acquire