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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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. DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. A candidate may also be
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immunohistochemistry. Some expertise in single-cell RNA sequencing is also preferable. Requirements: · Holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide
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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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/Training PhD in psychology or a related social science discipline Experience/Skills · Excellent English written and oral communication skills; high level of attention to detail Advanced knowledge and comfort
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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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self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
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to hold a PhD in a humanistic field at the time of appointment. Candidates submitting materials by January 15, 2026 will receive full consideration. Candidates should submit a cover letter, a curriculum
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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