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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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07.01.2026, Academic staff The Chair of Agrimechatronics at the Technical University of Munich (TUM) invites applications for the position of a Research Assistant (Doctoral Student). M/F/D. Applications from disabled persons with essentially the same qualifications will be given preference. TUM...
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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group Integrative Food Systems Analysis / Section III are currently looking for a committed PhD Student to start on 01/05/2026. PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at
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team * The opportunity to earn a PhD at a world-class institution Please send your application to reinhard.heckel@tum.de. Include: * A brief letter explaining your interest in this project and our work
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, including droughts, fires, and deforestation, as well as ecosystem resilience and tipping points. Key Responsibilities The successful PhD candidate will: Develop and apply machine learning methods (e.g. CNNs
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group Integrative Food Systems Analysis / Section III are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13, 65%) and initially limited to 3 years
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are looking for a highly motivated PhD student (m/f/d) to join us as soon as possible. Your tasks – In this project, you will design and study thermoplastic elastomers whose mechanical properties can be tuned
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to appoint a Doctoral Researcher (PhD), 75% (TV-L E13) to join the interdisciplinary research project NeuroAI ELSA Observatory (NEO). NEO is a collaborative, BMFTR-funded research project investigating
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated PhD student (f/m/x) to drive the development of a novel quantum enhanced microscope. The Institute