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- Communicate with supervisor and collaborators on progress and plans Minimum Qualifications The length of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The maximum
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technical topics to non-experts without the use of generative AI. Experience with software such as the Adobe Creative Suite, Blender, and DaVinci Resolve. The intent of this job description is to provide a
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project and will have the opportunity to mentor students. Candidates must hold a PhD or anticipate completion of a PhD prior to starting the postdoc and must have prior publications. To apply, please submit
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. Follow expectations for responsible dissemination of materials, reagents, software, and potentially patentable discoveries. Required Qualifications A PhD or equivalent doctorate (e.g., MD, ScD, DVM
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-mentored research, teaching innovation, and public engagement, providing Fellows with resources and networks to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit
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collaborate across departments to advance Duke’s Climate Commitment. The program emphasizes faculty-mentored research, teaching innovation, and public engagement, providing Fellows with resources and networks
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departments to advance Duke’s Climate Commitment. The program emphasizes faculty-mentored research, teaching innovation, and public engagement, providing Fellows with resources and networks to launch impactful
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neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are welcome to apply. Experience with computational modeling is required. Strengths in open science practices
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Overview We are seeking a highly motivated postdoctoral researcher with expertise in artificial intelligence and machine learning (AI/ML) to join our interdisciplinary team at Duke University. The postdoc
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issued to sponsor the individual. The term of the appointment is limited (see Section 5of the Postdoc Policy for length of appointment).The appointment involves substantially full-time research