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Description The group “Emergent Dynamics in Living Systems” in the Department of “Living Matter Physics” (LMP) is looking for a PhD Student (m/f/x) - Emergent Dynamics in Living Systems - The Max
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PhD Working Language English Required Degree Master Areas of study Physics, Experimental Physics, Nanotechnology, Nanosciences, Theoretical Physics Description Description The Center for NanoScience
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employer, TUD offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering
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of damage and extreme loading conditions. Both data- and physics-based modeling approaches are of interest in this context. The obtained results are to facilitate the inverse design of novel resilient
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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programming task within the thematic context of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bi-molecular-machine-learning/ Employment conditions This is a
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. Multiscale simulations of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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, earth sciences, energy systems, or material sciences A master's degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science