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at the university campus in Stavanger. The core element of this PhD project is to use physics-based and data-driven modeling approaches for developing accurate models for real-time optimization and control
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, integration, and validation for environmental and forest monitoring. Familiarity with remote sensing, cartography, and spatial data analysis using specialized software and tools will be considered a significant
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January 15, 2026. For more information, contact Yvonne Willi (yvonne.willi@unibas.ch ). Where to apply Website https://academicpositions.com/ad/university-of-basel/2025/phd-fellowship-in-con… Requirements
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of the host organization of last 36 months. As secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu
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specialised in digital techniques. The successful candidates will be able to implement advanced digital skills, visualise, and interpret data obtained from the analysis of samples from different users
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designated department, program, or central unit. Ensures the identification, collection, and analysis of data that serve as a basis for outcome measurement of assigned research studies. Monitors and follows a
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skills in data analysis and programming (e.g., Python or R). A track record of publications in high -quality scientific journals. Experience or interest in large language and foundational models is an
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(PhD) and with high-level analytical skills will be considered at grade J. What will you be doing? The role holder will apply existing commercial software for analysis as well as developing and applying
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are also encouraged to highlight any experience in teaching or developing courses with a data analysis or data modelling component. The candidate will also be expected to mentor senior research projects
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, behavioural analytics or a related discipline with a focus on behaviour and/or quantitative analysis (e.g., corpus linguistics) or a higher degree (MSc/PhD) in data science with a strong experience in