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to carry out individual project work in a European country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a
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skills, including communication to various audiences, career development, intellectual property and startup-funding. The doctoral candidates will form a strong cohort through participation in seven network
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project. As a PhD student within this project, you will have the opportunity to develop your networks within academy and across various disciplines. Your work will include field and greenhouse experiments
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Network ( FERNS (https://www.ferns-project.eu/ ; GA: 101226611)”. Duties The successful candidate will assess the use of low impact and possibly bioderived materials as core components for the development
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are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral
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are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral
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to greater adoption and positive societal impact. In safety-critical domains such as healthcare or autonomous driving, as well as in security-critical systems including AI-native networks or financial services
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academic writing Familiarity with large language models or multimodal systems An interest in visual reasoning, educational technology, or human–AI interaction Experience with neural networks for image
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diverse community of individuals from a wide range of nationalities. As a PhD student with us, you benefit from comprehensive career development support, opportunities for networking, and access to robust
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, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security. We have a wide network of long-standing international collaborators all