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                Employer- Delft University of Technology (TU Delft)
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                Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided 
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                mind, open to communicate and collaborate with peers and partners. You also possess: A PhD in Agronomy, Environmental Engineering, or related areas Experience with agricultural practices, agrobusiness 
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                can be discussed during interview stage. For more information about this vacancy, please contact Saba Hinrichs-Krapels, s.hinrichs@tudelft.nl . Application procedure Are you interested in this vacancy 
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                Montazeri, h.montazeri@tue.nl. Visit our website for more information about the application process or the conditions of employment . You can also contact HRServices.BE@tue.nl . Are you inspired and would 
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                Welcome to Maastricht University! You are a highly motivated researcher with a PhD degree in chemistry, holding skills in organic and polymer synthesis. You are willing to collaborate closely with 
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                25 Oct 2025 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Geography » Human geography Geography » Regional geography Researcher Profile Recognised Researcher 
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                their own role in defence Organize focus groups amongst students and active military service personnel Contribute to joint publications on the findings of the project Job requirements PhD in Political 
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                ://www.academictransfer.com/en/jobs/355391/postdoctoral-researcher-machine… Requirements Specific Requirements You hold a PhD degree in Computer Science, Data Science, Biomedical Engineering, or a closely related field, with a 
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                to and lead some of the above tasks. Job requirements To be eligible to apply, you should: Hold an PhD in geoinformatics/geomatics, computer sciences or engineering (or in a related discipline), ideally 
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                techniques to enhance MT use, thus improving the translator's working environment and job sustainability, as well as the user experience. To better understand this complex process, INCREC triangulates data