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of computational approaches to large scale simulations Basic knowledge of (geo)chemical processes and machine learning will be of advantage Expertise in Machine Learning approaches, ideally beyond neural networks
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 2 months ago
simulation study (2)‚ we identified several distinct patterns of polygenic adaptation in populations of different sizes. Building on the results of the computer simulations‚ we conducted an experimental
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, CV, copy of degree certificates and quoting the reference “w25-075” by April 1, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies
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, CV, copy of degree certificates and quoting the reference "w25-075" by April 1, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies
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biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data-driven simulation with physics
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-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
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include novel solar cells, field amplification for highly sensitive spectroscopy, biosensing applications where complex detection processes are made simpler, and even on-site sample examination using
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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generation and optimization. Collaboration with various research teams, including in the areas of (Auto)ML, ray tracing simulations and experiment control. Presentation of results at conferences and
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oceanography), chemistry, ecology, mathematics, computer science, engineering, economics, or political science Since the programme focuses strongly on numerical simulations, candidates with computer literacy