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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
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Navigators. The academic supervision team includes Dr. Engin Topan and Dr. Rob Benthuis. MULTIPLIER integrates operational data, optimization, and hybrid AI into a decision-support environment that advises
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Will you advance the state-of-art in 6G communication networks? Optical wireless links using highly directional steerable laser beams can securely serve a high density of devices at high data rates
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validating a machine learning prediction model for CP and related outcomes using neonatal MRI, EEG, GMA, HINE, and clinical data. Coordinating patient inclusion, data collection, and analysis across multiple
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Are you eager to work on digital monitoring tools and data science for medical applications? Are you fascinated about sleep? In this project TU/e works together with Sleep Center Kempenhaeghe and
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Do you enjoy working as a PhD on search for the extremely rare process of ttHH production in LHC Run-3 data? Or are you interested in focus on the reconstruction of two-Higgs decay channel into a
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this information will not be considered. Position #1 - experimental In this PhD study, you will evaluate and help optimize a highly diverse intercropping system. You will assess which combination of service crops
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, and outcome monitoring. In parallel, you will also: Explore the integration of outcome data into routine care, working closely with clinicians at Erasmus MC and national stakeholders. Decision