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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class
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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
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algorithms and developing computer programs to implement new analytical methods. We have a strong emphasis on molecular and genome evolution, molecular population genetics, firmly grounded in statistical and
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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crystallography or cryo-EM). Photoactive proteins experiments. Mammalian cell culture. Computational skills : De novo protein design. Training and fine-tuning of machine learning algorithms. Molecular docking