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Field
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successful candidate will hold a PhD degree in Computer Science / Engineering, Electronic Engineering or a closely related discipline, with a good track record of original research publications. The successful
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The Laboratory of Geo-information Science and Remote Sensing at Wageningen University seeks talented and enthusiastic candidates for a postdoctoral appointment in Remote Sensing of the land surface
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candidate with a PhD degree in computer science, physical chemistry, chemical physics, theoretical physics, or a related field, with a strong background in training GNN-based ML predictive models (Equiformer
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department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research
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) Application Deadline 6 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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Qualifications The prospective postdocs should have a PhD degree in a related field, and have research experience in artificial intelligence, machine learning, bioinformatics, and computational biology. A strong
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within