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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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, and flexible to provide support/expertise where needed. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and
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techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics; 3-year funding to work on your doctoral project. Up to two additional positions will be funded by a DAAD
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Participate in the integration of Generative Artificial Intelligence algorithms and the enhancement of the recommender system. Is Your profile described below? Are you our future colleague? Apply now! Education
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software systems—robotics, controls, imaging, and data pipelines—into reliable, high-performance research tools. Develop and implement algorithms for machine vision, adaptive control, and real-time learning
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for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles. Design active learning algorithms and
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and embedded cryptography, and quantum programming languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms
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or related fields past experience with Machine Learning algorithms and systems past experience with robot control and operation programming experience with ROS, C/C++, Python and/or PyTorch experience in
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address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
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(https://hessian.ai/). Your tasks The scientific focus of the professorship for “Ethical and Safe AI” will be on developing methods and algorithmic foundations for AI systems whose behavior is consistent