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maintenance, development and implementation of new analytical methods and new data analysis strategies are part of the responsibilities, as is the participation in the training and teaching of graduate students
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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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the development and use of biodiversity data infrastructures how justice considerations can be integrated into global biodiversity monitoring and decision support systems The postdoc role is designed to offer both
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sentences. New electrodes now allow researchers to record many single neurons in humans during speech tasks, offering new possibilities for developing theoretical models that will help us better understand
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and develop soft matter characterization techniques, including rheology, microscopy, and spectroscopy. Analyze structure–property and structure-function relationships in mycelium-based systems. Scale-up
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that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions
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expertise on optimizing codes and HPC workloads, conduct scaling analyses by means of performance / profiling tools, identify bottlenecks and develop strategies for optimization. You will inspect codes
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, control engineering, and immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle
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support throughout the PhD journey flexibility in designing and pursuing own research ideas within the scope of the overall project collaboration with national and international partners to develop a
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-term adaptation. The project will provide urgently needed knowledge for developing adaptive silvicultural strategies to sustain ecosystem services in beech-dominated forests. Job description You will