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starting date is November 2025. The topic of the PhD project will be theoretical research in discrete optimization, with a particular focus on either graph algorithms or multiobjective optimization
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multiple institutions, and more details can be found at the project website: Project Website: www.raicam.eu Eligibility Criteria • Not have resided or carried out your main activity (work, studies, etc.) in
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research on the effects of different forest management regimes on the protective function of forest ecosystems. The work is embedded in a collaborative project coordinated at the Technical University
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to an internationally competitive PhD degree and internationally peer-reviewed publications. The position will include significant involvement in selected nationally and internationally funded projects, such as various
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. Description of the PhD topic (project C5) Project C5 in the CRC is concerned with the multimodal macroscopic fundamental diagram (MFD) that represents network-wide traffic states in an urban road network
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
. Ongoing projects include the development of new techniques for visualizing graphs in Euclidean and non-Euclidean spaces, dimensionality reduction, and user-centered evaluation of visual interfaces
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of Energy and Environmental Models starting immediately, in full-time. The doctoral position (scholarship) is part of the International Project Team OptiEnv, which is funded by the International Graduate
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). The position is embedded in a research project funded by the Bavarian Research Foundation, which officially launches on September 1, 2025. PROJECT OVERVIEW Metabolism plays a central role in human health, as
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07.05.2025, Wissenschaftliches Personal The Professorship of Earth Observation for Ecosystem Management is seeking a PhD student (m/f/x) working in the project “Assessing the impacts of transient
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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning