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on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. Depending on the background and interest of the candidate, the work will focus on a
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are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
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learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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no estimate of their correctness which severely hampers accurate estimation of the correctness of downstream analysis. In this project we will develop novel models for estimating the correctness of genome and
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estimated to cause 1.3 million deaths annually. However, drivers of the AMR crisis are still largely unexplored in population cohorts. Also, the amount of sequencing data has increased massively in the last
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, or estimation of future healthcare costs, useful in public health planning. We utilize large datasets from real patient records and registries e.g. from Finland (7 million people) and France (16 million people
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prediction of progression of diseases like cancer, or estimation of future healthcare costs, useful in public health planning. We utilize large datasets from real patient records and registries e.g. from
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statistical modelling, Solid skills in computer programming for data science (e.g. R, Python), Experience with real-world data analysis tasks, Good communication skills in English, both verbal and written
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, current tools for assembly and compaction of sequencing data produce sequences with no estimate of their correctness which severely hampers accurate estimation of the correctness of downstream analysis. In