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(completed or near completion) in a relevant field (e.g., Environmental or Soil Sciences, AI, Data Science, Geosciences). Basic knowledge of soil science and strong interest in AI and soil health. Experience
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or interest in this position. General information and research topics of the Maaß-group can be found at www.maass.nu. The position is suitable for disabled persons. Disabled applicants will be given preference
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quantitative survey, including building and managing the survey platform, launching it for a four-week data collection period, and ensuring effective monitoring and data integrity throughout. The position also
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world through multidisciplinary research, education, partnerships, and policy engagement. More information: www.uantwerp.be/iob . The Institute of Development Policy (IOB) is looking for a full-time (100
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly integrate S
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mechanistic, dietary and clinical analyses embedded within a double‑blind randomised controlled trial of tirzepatide. Project Description You will analyse Intake24 dietary recall data collected during the trial
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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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displacement. Responsibilities Perform original and independent research on earth surface deformation assessment in Texas, the surrounding area of Texas, and elsewhere. Be involved in analyzing data collected
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Degree PhD in Health Data Sciences Course location Berlin In cooperation with Institute of Public Health, Charité - Universitätsmedizin Berlin Institute of Biometry and Clinical Epidemiology