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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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utilization Programming experience in Python Advanced knowledge of geostatistics The transition of the energy system towards climate neutrality requires, particularly in industrial applications, the use
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web application. The role blends data engineering, applied AI, geostatistics and socio-behavioural modelling, supported by academic supervision and commercial mentoring. This is a high-impact
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with a focus on carbon pools and carbon stocks in soils. Experience in geostatistical methods and/or spectral analysis of soil samples is a merit. The applicant should have a documented capability to
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display meaningful engagement with internal and external stakeholders (industry relationships) Knowledge and experience in the use of Classical and Geostatistical Software, including R, SQL Competency in
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-house gases. Your profile PhD exam in relevant topic based on research in soil science with a focus on carbon pools and carbon stocks in soils. Experience in geostatistical methods and/or spectral
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involving agri-food systems (production and processing), with good knowledge of IT, photography, geostatistics, and data processing with R. Demonstrated ability to carry out laboratory protocols
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii
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), with the ability to work across both legacy and modern codebases. Strong background in statistical analysis and model evaluation, including validation of gridded datasets. Experience in geostatistical
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at the geochemical/isotopic characterization and protection of water resources 2. Study of areal distribution, using GIS and geostatistical techniques. 3. Isotopic mapping (2H and 18O) 4. Support for training and