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. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored through ligand design. This project aims to explore and optimize such molecules to enhance their performance as
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and the effects of disordered correlated microstructures on diffusion; iii) development of energy-based models and numerical simulations of hyperuniform assemblies; iv) development and application
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, and cohort-based human studies to explore how pollutant exposure influences metabolism, food preferences, and overall health. The successful candidate will focus on the biophysical analysis of receptor
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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | about 4 hours ago
encouraged!) Your profile Master’s degree (or close to completion) in Microbiology, Immunology, Molecular Biology, or a related life science Strong motivation to learn new in vitro, ex vivo and in vivo
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provide crucial insights for a knowledge-based optimisation approach Support the further development of spectroscopic methods for the characterisation of antimony chalcogenide-based materials and interfaces
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based on performance. A dynamic, interdisciplinary, and international research environment with excellent, state-of-the-art infrastructure. A cooperative, friendly and supportive environment, with plenty
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(Lightfoot) groups. Using a comparative approach, we aim to understand how evolution has adapted existing behaviors and invented novel ones through alterations of the underlying neuronal circuits. Based on our
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memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear dynamics of these devices to perform complex learning tasks with extreme energy
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) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility that are technically well-grounded and at the same time
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms