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Field
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quantum information/cavity physics will be advantageous. Competence in numerical modelling will be needed. Personal characteristics We are seeking a candidate who is independent, takes initiative and excels
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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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language skills Experience in the following will also count in the assessment of the applicants: computational and statistical methods for analysis; rodent behavioural assays, brain sectioning and
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assimilation methods in the ACTIVATE project. The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia
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collaboration with the PI and other members of the team. Contribute to theory building and cross-method integration. Opportunities Shape a novel, interdisciplinary research agenda at the intersection of political
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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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on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project. The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills
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to interrogate and challenge vendors of AI based systems and products Robust methods for developing games and web services that can be used to support parents, teachers and students to understand and compare