44 agent-based-modeling Postdoctoral positions at Technical University of Munich in Germany
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(songbird) variables, and human restoration variables. We aim to produce maps of model predictions based on biodiversity indices, restoration variables in relation to urban green and built infrastructure. Job
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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, NeRFs, Diffusion Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly
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and physiological function of specific transport proteins in heterologous expression systems in crops and (trans-genic) model plants. • A unique set of Arabidopsis and barley transporter “mutants
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central importance for global trade. Much of it is based on the transportation of goods by large container ships. These are not very flexible due to fixed routes, cause environmental problems and are prone
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)confinement in string-net models - Quantum field theory, lattice QCD To apply, please send your application via email with the title “PostDoc application” or “PhD application” to application@zachegroup.com
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, depending on the geographical and economic context. It will include a deep dive on the potential of Ukraine to become a green hydrogen hub, leveraging geo-spatial energy models run by project partners. As
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). Employment Conditions • Start date: Flexible, from January 2026 onward • Salary: Based on the German public sector pay scale TV-L E13, commensurate with experience and qualifications. • Generous funding
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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. The aim of our group is to improve the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level