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or biogeochemistry. Your profile We are looking for a dynamic, reliable and motivated candidate with a PhD in biology, forestry, environmental sciences or related disciplines. Strong interest in process-oriented
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extremes under different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models
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: PhD in computational biology or related field Background in computational biology, bioinformatics or a related field Strong programming and statistical knowledge, including machine learning Excellent
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recent results already obtained in our group. Applicants should have completed a PhD in a relevant field such as biophysics, quantitative biology, microbiology, or evolution. Previous experience with
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take advantage of several recent results already obtained in our group. Your profile Applicants should have completed a PhD in a relevant field such as biophysics, quantitative biology, microbiology
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of Agricultural Sciences at ETH Zurich investigates animal (epi-)genomes and transcriptomes. The group applies bioinformatics and statistical methods to detect and characterize trait-associated sequence variation
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experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling
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and statistical methods to detect and characterize trait-associated sequence variation from short and long-read sequencing data. We are looking for a motivated researcher who is eager to work on cutting
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from renewable energy generation to natural hazards and biodiversity. Your profile : - PhD in statistics, sciences, engineering or a related field. - Experience in extreme value statistics - Background
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found here . Your profile You must hold a PhD either in Mathematics, Theoretical Computer Science, Statistics, Theoretical Physics You must have a strong background in Probability Theory. Individuals with