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to monitor patients’ health condition continuously and accurately after surgery to measure and evaluate patients’ recovery progress, timely detect and even predict clinical adverse events like delirium
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Vacancies PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery Key takeaways A hip fracture in older adults is
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one month and 30% within one year after hip fracture surgery. It is therefore crucial to monitor patients’ health condition continuously and accurately after surgery to measure and evaluate patients
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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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Do you enjoy working at the interface between behaviour, ecology, and evolution? Then you might be the PhD candidate we are looking for! In this project, you will investigate how swarming behaviour
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international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you: Good employment conditions. The position is graded in scale P according to UFO profile PhD
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First Stage Researcher (R1) Country Netherlands Application Deadline 29 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU
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smart monitoring methods can be used to investigate the ecological status of smaller -often unmonitored- water bodies. These water bodies make up one-third of the total number of water bodies in
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» Optics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 2 Nov 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job