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,..) machine learning techniques and their application to engineering problems is also crucial A solid background in high-performance computing and algorithm design is highly valued Experience with hybrid
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analyzing complex biological data, developing innovative algorithms, and contributing to groundbreaking research projects in the department. You will contribute to strengthening our capabilities in the fields
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mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
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expertise and experience to lead research projects to design, develop and enhance AI/ML algorithms and models using extensive healthcare data sets. The successful candidate will ensure models
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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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implementing inversion algorithms, including a focus on the integration of spatially constrained regularization schemes. Collaborating with forward modeling experts to ensure seamless integration with a recently
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twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
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algorithmics project group. Ultimately, we aim to expand these techniques into time resolved studies to explore the dynamics of biological systems. We are equipped with a double aberration corrected 300kV Cryo
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Multiple Faculty Positions - Computational Biomedical Science, Center for Computational Life Science
and healthcare. A solid foundation in computer science, with proven advanced capabilities in data structures, algorithms, and software design. Advanced skills in structured and unstructured data
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, differential geometry, partial differential equations, number theory, probability. Theory of Computing: all areas of theoretical computer science, especially algorithms and computa- tional complexity. Applied