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phenotyping. By enabling detailed observation and analysis of plant traits under various environmental conditions, our infrastructure promotes innovation and collaboration among researchers, breeders, farmers
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reviews, ethnographic fieldwork, network analysis and other research methods as appropriate to project. Take responsibility of own data management to prevent data loss. Take responsibility
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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles
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also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring, neurodevelopment as
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approaches from STS and/or innovation studies such as valuation studies or care studies will be considered an advantage. Experience with qualitative document-analysis, ethnography and/or interview studies will
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the following will also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring