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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in
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physical SAM. While INRIA Lille leads the control design, both teams will collaborate on use-case scenarios and real-world demonstrations to assess performance and future potential. The successful candidate
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Institute of Microstructure Physics Halle (MPI-MSP ), Nanoelectronic Materials Laboratory gGmbH (NaMLab ) in Dresden, Ruhr-Universität Bochum (RUB ). For the initial funding phase (April 2025 – December 2028
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REQUIREMENTS: A Master’s degree in Biology, Biomedical Imaging, Physics, or a related discipline A strong interest in in vivo imaging, cell tracking, functional cell analysis, and data interpretation Previous
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Biology, Biomedical Imaging, Biochemistry, Physics, or a related field A strong interest in biomedical imaging, contrast agent development, immune cell tracking, and data analysis Previous experience with
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The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en/research-groups/CRITIX/ ) headed by Prof. Marcus Völp. The team focuses on critical information
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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the S3ORTED project, other work-packages will focus on the technical development of an automated sorting process of discarded textiles as well as chemical recycling. But we also need to understand how we can
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the S3ORTED project, other work-packages will focus on the technical development of an automated sorting process of discarded textiles as well as chemical recycling. But we also need to understand how we can