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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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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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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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to the success of the whole institution. At the Cluster of Excellence „Physics of Life” (PoL), the Heisenberg Chair of Biological Algorithms (Prof. Dr. Benjamin Friedrich) offers a position as Research Associate
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, computer science, or a related field is required, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer
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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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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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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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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