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belowground; - development of SDM modeling structures that best reflect plant use of multiple resources (e.g., interactive vs. substitutable resources); - testing the application of resource colimitation theory
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for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural
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will use and develop Python scripts for analysing results and may participate in the development of codes such as the observation simulator and the improvement of the controller. The proposed thesis will
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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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, and geochemical data from multiple work packages; • Development of data transformation workflows and interoperability tools to ensure consistency across diverse datasets (fire experiments, biodiversity
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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related to scientific computing - A solid background in multi-linear abler and tensor contractions software development - Proficiency in multiple programming languages (Python, C/C++, or Fortran), ideally
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. FeelGoodAI will be applied to the field of education, where learner mental health and well-being are major concerns. Multiple perspectives and constructs related to well-being underpin several theories from
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] to perform their tasks efficiently. The control of multiple robots through a centralized software platform can bring a large-scale farm automation. However, agricultural environments often feature