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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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. The duration of the position is three years. Your work tasks In this PhD position, you will work with the spatial and temporal dynamics of shallow groundwater in urban areas. The overall aim is to obtain a
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is rising and empirical evidence is growing. Yet, we still lack systematic ex-ante and ex-post quantitative assessments of adaptation effectiveness and limits across various scales (temporal, spatial
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statistics and data analysis. These above-mentioned qualities are considered advantages but are not prerequisites for the position. Personal qualifications You need to have: • Strong motivation for PhD
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16th August 2026 Languages English English English Are you interested in radionuclide transport and safe final deposition? PhD scholarship within Environmental Radiochemistry Apply for this job See
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-offs and synergies of land use decisions desirable Good knowledge of statistics and relevant software products (R, SPSS, jamovi or similar) Good knowledge of analysing spatial data (geoinformation
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for efficiency monitoring and fault detection, combining sensor data, system layout knowledge, and physical principles to extract spatial-temporal features and predict equipment behaviour; 2) Statistical anomaly
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms Apply for this job See advertisement This is
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 3 Aug 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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Berlin and TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The following main research goals are pursued by