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will work on a newly started interdisciplinary project focusing on exploring the AI based generation and use of synthetic data for improving predictions of energy performance of buildings as
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useful in the past to predict actions that might be useful in the present, try them out and update its knowledge base (i.e. update learning). This postdoctoral position is funded by Wallenberg AI
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accurate in vivo RNA structural predictions. Work responsibilities The candidate is expected to be able to work independently on his/her project. To successfully carry out the project the candidate will
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nutrient accumulation and loss in soils 2) To measure whether nutrient losses to streams (nitrate and phosphate) and air (nitrous oxide) are higher for non-irrigated than irrigated fields 3) To predict
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insects and other organisms (including humans), and the repercussions in terms of ecosystem functioning. To understand current biodiversity, we also need to understand its evolutionary history – to predict
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analysis or predictive modeling of pathogen biology or host-microbe systems for which multidimensional, genome scale experimental data are now available, or it may use population scale genetic, clinical
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host