868 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Sweden
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the Arctic, experimental tests of climate driven changes in carbon export from land and turnover and release of greenhouse gases (CO2 and CH4 ) from headwaters, and use of machine learning and process-based
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multi-modal perception and machine learning. Current noninvasive agricultural monitoring systems rely primarily on passive sensing, which limits sensitivity to early-stage plant stress. This project
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June 2026, UFV-PA 2026/581 Where to apply Website https://uu.varbi.com/en/what:job/jobID:908266/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent
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to make a difference? Join us and contribute to better health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:912703/type:job/where:39/apply:1 Requirements Research FieldMedical
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health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:911616/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company
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of April 2026, UFV-PA 2026/751 Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. Where to apply Website https://uu.varbi.com
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about
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data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop and apply data-driven and machine learning-based methods