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reliability of the applied methods; iii) explore how this training can be elaborated including simulation technology to support training outcome. The basis should be to further develop a training program based
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be part of a growing team of researchers, postdocs and PhD students working on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project. The main
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multispectral data, applying ML methods (e.g. XGBoost, LSTM, CNN). Run virtual “what-if” scenarios for nutrient, water, and light inputs to predict biomass, canopy, protein content and chlorophyll dynamics
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the information we need will be provided by you when attaching the mandatory elements listed in the next section. Your application must include: Research proposal (5 pages, using a template based on the evaluation
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not need to fill in any other sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section. Your application
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sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section. Your application must include: Research proposal (5
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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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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
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on the public defense of the doctoral thesis being approved. Experience with qualitative social science or humanities research on the life sciences will be considered an advantage: Experience with key methods and