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and development of algorithms, methods, and theories aimed at better understanding the properties and underlying mechanisms within statistical and deep learning-based systems also in the presence
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: You will develop software tools, algorithms, and other software components. These should be evaluated in realistic scenarios and integrated with, as well as shared within, the project team. Presentation
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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of law, science and technology studies) preferably with a focus on how AI, algorithms, data or automation affect the public sector or its governance issues. Consideration will also be given to good