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Post-doctoral fellow in geoinformatics (GIS) Login and apply Lund University Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around
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classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded or defended before start) in Computer Science, Remote-Sensing/Geoinformatics
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GIScience, geoinformatics, spatial data science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control
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, urban analytics, geoinformatics, or a related field; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python
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stakeholders. Experience and Qualifications: A Ph.D. in a relevant field, such as machine learning, climate science, environmental sciences, geoinformatics, or a related discipline. Proficiency in advanced
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date of the employment decision. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD in physical geography, remote sensing, geoinformatics
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information for at least two academic referees Further information about the Centre for Radiopharmaceutical Sciences ETH/PSI can be found on our webpage https://radiopharmaceutical-science.ethz.ch/ and
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research on subsurface characterization, Earth observation, geophysics, geoinformatics, and sustainable management of natural resources. The Department of Civil Engineering and Management contributes
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, matrix product state and neural quantum state methods, as well as quantum simulations). Some of our recent papers relevant to the position include: https://arxiv.org/abs/2011.01955 https://arxiv.org
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We welcome applications via our website from 25 August