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Field
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interaction maps with mammalian cells 2. DNA-based artificial cells and molecular computing We will engineer DNA-based artificial cells and condensates that can sense, process, and respond to molecular signals
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of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of
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to millennia. A central objective is to improve the representation of marine carbon, nutrient cycling and microbial processes in Earth System Models while increasing spatial model resolution to capture key
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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collaboration with the team in Tübingen and with the parallel team based in Leuven. The candidate will collaborate with research carried out within the same period at KU Leuven by T. Nelis (FitMA) on the earlier
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10.05.2024, Academic staff The Munich Institute of Integrated Materials, Energy and Process Engineering (MEP), based in Garching, is an integrative research center that combines the areas of 4D
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reduction, nonlocal PDE operators or OpenMP/MPI/CUDA parallelization? If such terms are familiar for you - and if you are excited by the mathematical analysis, development, and rigorous understanding
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, biomolecules, vesicles, and nanoparticles – to engineer colloidal systems and interfaces with targeted functionality and selective molecular recognition. In parallel, we develop advanced characterization
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
area # Good knowledge of electronic structure methods for crystals and 2D materials # Experience with parallel computing paradigms # Good knowledge of numerical methods # Experience with high-performance
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the case of challenging environmental conditions, the method of multi-scale parallel single-pixel imaging has the potential to enable breakthrough advances. The “image processing and AI” group contributes