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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
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or habitats knowledge of data analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity
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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
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, experience with programming in MATLAB, Python, or similar for data analysis is highly valued. Great emphasis is put on personal qualities such as the ability to independently plan and carry out work. You have
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, forestry, bioinformatics, or a related field - Strong demonstrated interest in biodiversity, molecular methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work
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management Nordic forestry Remote sensing data: ALS, TLS, satellite (e.g. sentinel2), aerial images Statistical modelling and analysis GIS e.g. ArcGis, Qgis, R Programming, e.g. R, Python, C etc. Field work
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methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work - Ability to work independently and in multidisciplinary teams - Strong English communication skills
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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collaborations with different international research networks. Additional qualifications Experience in programming languages (Python, C, Fortran, etc.) and with numerical codes for fluid dynamics is a merit
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(or equivalent) in Computer Science, Statistics, Ecology, Biology or Forestry. · Documented experience with application of deep learning and advanced statistical analysis and programming (e.g., R or Python