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of quantum programming languages and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and
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: Interested in bridging wet-lab experimentation and quantitative theory to study biological systems Background in one or more of the following fields: Cell biology, biophysics, biomedical engineering, or
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. Knowledge of mechanical design, control system theory, statistics, actuation, sensing, rapid prototyping, and manufacturing. Experience with tools such as ROS, Gazebo/NVIDIA Isaac/Omniverse or CoppeliaSim
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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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theory, and related fields. • It is a strong asset if you have already acquired expertise and demonstrated your ability to perform rigorous theoretical research in the field of topological order and of
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exceptional cases where electronic submission is not possible, applications can be submitted through surface mail to: TU Dresden, Chair of Theory of Polymers at Interfaces, Prof. Jens-Uwe Sommer, Helmholtzstr
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project (thesis, paper, etc.) Analytical mindset: You have a passion for solving complex problems and a solid foundation in math/stats/ML theory Teamwork and Communication: You enjoy interdisciplinary
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large-scale MD simulations, ideally with LAMMPS, demonstrated via corresponding roles in publications Experience with density functional theory (DFT) calculations, ideally with VASP, demonstrated via
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sites. We will subsequently use information theory and (or) wavelet analysis to link this data with environmental variables and identify their principal drivers. Functional forms of LUE-WUE and gc will be