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Field
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profile: The ideal candidate will have: A PhD in biology, cognitive science, or an adjacent field (e.g. biomedicine, computer sciences); A strong academic track record, including high-quality publications
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qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented by publications at first-tier conferences and journals (e.g., NeurIPS
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references (include name, phone number and email address); a copy of your PhD certificate, or a letter from your university stating when your defence will take place. If this specific opportunity isn’t for you
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://academicjobsonline.org/ajo/jobs/31050. AJO accepts applications until and including 17 December 2025. Applications submitted by email or through other portals will NOT be considered. If you have any questions or do you
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24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
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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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information about this vacancy, please contact Dr. Yaiza Gonzalez-Garcia, Associate Professor, email: y.gonzalezgarcia@tudelft.nl . For information about the selection procedure, please contact the recruitment
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for research and education in the fields of DC systems, energy storage, electronic power conversion (power electronics), electro-mechanics for electric mobility and recently electro-chemical conversion. DC
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Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable digital CIM-based AI
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. The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI