142 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Denmark
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 16 months. You can read more about career paths at DTU here . Further information
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area of expertise. Collaboration will involve joint problem-solving, the integration of data streams, and the development of decision-support tools to inform large-scale restoration policy. Your profile
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contribute to technology development, data analysis, and dissemination. The position also includes participation in supervision of MSc or BSc students. The successful candidate must hold a PhD in biotechnology
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with strong analytic and quantitative skills
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EEG and behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with a solid understanding of color
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data designed to foster inclusive, efficient and seamless transport infrastructure and mobility services. Subsequently, you will further develop the perspectival modelling approach, bringing LLMs
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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess