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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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Applications to the Runway Startup Postdoc Program open on October 15 and close on February 15. Recently completed your PhD and want to harness your deep tech expertise to start a company? Want to
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The Department of Geosciences and Natural Resource Management invites applicants for two PostDoc positions in Remote Sensing and Deep Learning of woody ecosystem properties. The PostDocs will be
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sciences, computer science, machine learning, and education research. Research Themes The research themes identified for the NTO postdoc include, but are not limited to, the following: Developing
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/Administrative Internal Number: 6954678 Postdoc Theoretical Neuroscience Helen Wills Neuroscience Institute Position overview Position title: Postdoc Salary range: The UC postdoc salary scales set the minimum
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
position will include, but is not limited to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral
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team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will
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Essential skills, knowledge and experience: Experience with machine/deep learning development Data-Centric AI Knowledge Notions of cybersecurity and networks are optional Spoken and written English Desirable
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Posted on Thu, 12/18/2025 - 12:54 Important Info Faculty Sponsor First name: Tamar Faculty Sponsor Last Name: Green Stanford Departments and Centers: Psychiatry, Child Psychiatry Postdoc Appointment
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due