16 data-"https:"-"https:"-"https:"-"https:"-"https:"-"London-Metropolitan-University" PhD positions at Utrecht University in Netherlands
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PhD Position in AI and Data Science for Modelling and Analyzing Reading Text Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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Bachelor’s and Master’s levels (approximately 10-15% of your time). Where to apply Website https://www.academictransfer.com/en/jobs/357222/phd-position-in-ai-and-data-sci… Requirements Specific Requirements
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“Nanoscale Rock Magnetism and Magnetic Imaging”. Your job This study is part of the ERC Consolidator project SPARK , which aims to unlock magnetic information stored in nanoscale vortex-state particles in
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-throughput phenotyping. You will develop novel methodologies, execute experiments, analyse data, and present your project results in the form of manuscripts and oral presentations. In addition to your research
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development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
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hybrid (symbolic and sub-symbolic) AI approaches to help users formulate and translate natural language questions into structured representations that can be linked to geospatial data sources and workflows
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
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PhD Position on Requirements Engineering and Spec-Driven Development Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering