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Post-Doctoral Fellow, Research - Think & Speak Lab - Dr. Jordan Grafman
Posted Jun 20, 2025 · We last checked this listing on Oct 6, 2026
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Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about your dissertation in a way a speech therapist on our team could follow.
What they are checking: Whether they can explain their work clearly to the clinicians they will collaborate with.
Tell me about a time you worked through a disagreement with a collaborator on how to analyze data.
What they are checking: Whether they can resolve scientific disagreements with evidence and respect.
What would you want to have published or funded by the end of this fellowship?
What they are checking: Whether they have clear goals for their training and a plan to reach them.
What would you do
How do you make sure participants with cognitive problems truly understand consent?
What they are checking: Whether they protect vulnerable participants and use proper consent methods for impaired capacity.
A participant gets frustrated and wants to stop halfway through a long testing session. What do you do?
What they are checking: Whether they respect participant comfort and rights over finishing the data collection.
About the work
The Think and Speak Lab studies cognition and language after brain injury. What question in that area would you want to pursue here?
What they are checking: Whether their interests fit the lab's focus and they have thought about their own contribution.
How would you design a study on recovery of thinking skills in patients with traumatic brain injury?
What they are checking: Whether they can plan a sound study with the right measures and controls in a varied patient group.
What experience do you have with neuroimaging or brain stimulation methods?
What they are checking: Whether they have the methods skills common in cognitive neuroscience research on brain injury.
How do you choose cognitive tests that are sensitive to change in patients with brain injury?
What they are checking: Whether they understand measurement issues like ceiling effects and practice effects in repeated testing.
How do you handle a large dataset with many brain measures without finding false positives?
What they are checking: Whether they correct for multiple comparisons and use rigorous statistics.
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As published by Shirley Ryan AbilityLab.