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Field
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong
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of alternative housing solutions together with local stakeholders. Map and analyse settlement typologies in selected peri-urban areas, using field data, spatial analysis, and architectural documentation
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Positions PhD Positions Country Bulgaria Application Deadline 24 Oct 2025 - 00:34 (Europe/Brussels) Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting Date 5 Jan 2026 Is the job
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offer Embedding within a computational team, with extensive experience in computational biology and
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and implementation of time scales and spatial landmarks. It is located on the Paris site of the Paris Observatory (XIVth arrondissement). The REFAG team is specialized in the processing of space geodesy
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offerEmbedding within a computational team, with extensive experience in computational biology and
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for automatic species identification, the use of various modelling approaches (such as generalised linear models or mixed models), spatial analysis of the movement of animal species tracked by GPS, analysis
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Contexte : Situation de l'emploi et conditions : The PhD project is associated with the Paris RÉUSS-I project: inteGREEN, funded by ANR France 2030 PEPR Ville Durable et Bâtiment Innovant (VDBI). inteGREEN