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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
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priming and susceptibility to infections. The project aims at understanding how endogenous nucleic acids can contribute to the basal activation of innate sensors. Our group previously studied the role
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priming and susceptibility to infections. The project aims at understanding how endogenous nucleic acids can contribute to the basal activation of innate sensors. Our group previously studied the role
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage