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part of the WASP Graduate School including following its curriculum. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary
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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
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knowledge about future sustainable land use and develop new solutions as a basis for decision-making in agriculture, forestry and the urban environment. The working environment at the department is
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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https://web103.reachmee.com/ext/I017/1114/main?site=6
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techniques with omics-based approaches (metatranscriptomics and metaproteomics), you will uncover the molecular mechanisms that enable microbial cooperation. You will also take part in developing innovative
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. Your work assignments The overall aim of the project is to investigate how firms can leverage specialised AI models to develop innovative offerings, business models, and ecosystem collaborations. While
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translational research, research strategies and development, as well as education on both undergraduate and postgraduate levels. Where to apply Website https://lu.varbi.com/en/what:job/jobID:894214/type:job/where
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, environmental analysis and education, we contribute knowledge about future sustainable land use and develop new solutions as a basis for decision-making in agriculture, forestry and the urban environment