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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
, the successful candidate will work on a project aimed at understanding which factors are shaping the length of working life; and/or on projects in survival analysis and causal inference. The candidate will develop
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Research Group “OpTBtreat (Optimising tuberculosis treatment: causal inference framework and mathematical modelling to support the development, prioritisation, and impact assessment of novel tools and
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of C4 grasslands and savannahs using the latest CMIP6 climate projections. Collaborate with geologists and climate modellers in the team to infer the climate conditions and CO2 concentrations at which
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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comparisons in close collaboration with climate and vegetation modelers Collaborate with geologists and climate modelers in the team to infer the climate conditions and CO2 concentrations at which C3 /C4
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to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical models and
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genomics, genome assembly and programing of scripts, R Very good written and oral communication skills in English Interest to species distribution modeling, paternal inference, conservation genetics and
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such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D observations. Generating