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are hiring a postdoctoral scientist to join our EU-funded team on genetic engineering of Cyanobacteria to generate sustainable cell factories. The C5 project (Clever Combination of Synthetic
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August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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scientist, will co-supervise. Your qualities You have: a successfully completed MSc degree in human nutrition, food technology, or a related discipline; interest and/or background in human digestion
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construction materials? And collaborate within an international consortium of architects, materials and textiles scientists, and engineers to help translate bio-inspired knowledge to the development of modular
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++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
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! Scientists have speculated about the inherent potential of molecular systems for information processing since the dawn of computer science. However, the digital computing paradigm is inherently ill-suited
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will