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environment. Apply now if you are motivated to drive the project and eager to advance applied forest remote sensing. Main tasks Process remotely sensed data Develop statistical models predicting tree- and
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/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
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standardized cleaning, validation, and metadata practices. -Integrate geospatial analytics, predictive modeling, and real-time decision frameworks to deliver scalable insights. -Collaborate on research projects
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, … available in the BIOMOD2 suite (https://biomodhub.github.io/biomod2/ ) and if these SDM can predict not only species presence distribution but maximum species population density. Second objective is to gather
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into quantitative frameworks for prediction of the contribution of An. stephensi to malaria transmission, and optimising surveillance and control for this and other native vector species in urban settings. 2. Build
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oscillations. Parametric studies relating oscillation parameters to heat transfer metrics will be conducted. A key challenge is developing predictive models for estimating the Nusselt number as a function of the
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conduct literature reviews, develop models of various types (thermodynamics, data-driven) for predicting the systems performance, emissions, reliability and safety parameters, collect, collate and analyse
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using language identification, such as text corpora for rare languages. Language identification methods ground their predictions on training corpora for a finite number of separate languages. In practice
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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive
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to behavior prediction and change, and an early track record of research applying related methods to implementation science. Experience in developing and applying methods in community-based research is required