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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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Health, Data Science, Remote Sensing, Geomatics or a closely related discipline•Strong analytical and programming skills (e.g. Python or similar)•Experience in at least two of the following areas
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completed bachelor's AND master’s degree in chemistry with a focus on analytical or environmental chemistry from a university or comparable institution of higher education is required. Applicants must have a
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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degree or equivalent in a related discipline. This project would suit individuals with academic or industrial experience in electronics, electrical engineering, systems engineering, or AI/data analytics
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holder are: Perform Business Intelligence & Analytics work, including data integration, cleaning, transformation, analysis, and visualization; Carry out scientific work in coordination with technical and
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into microscopy image analysis and analytical data analysis workflows, together with other team members Build new foundation models for microscopy image analysis Implement AI-based microscopy image analysis
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imaging. Novel data workflows will be developed to allow parallel multi-element measurements. The project is interdisciplinary, combining instrument development, analytical chemistry, laser physics and
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the interdisciplinary MOMENTUM 3.0 programme funded by ZonMw, the project combines environmental exposure assessment, advanced analytical chemistry, behavioural science, and stakeholder engagement to generate knowledge
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food