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interpreting brain imaging data (e.g., FSL, SPM, AFNI) - Demonstrated ability to complete projects, as evidenced by first-author publications - Excellent organizational, interpersonal, and communication skills
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that underpin moral judgment - rule-following, outcome evaluation, bargaining mechanisms - are themselves products of this evolutionary process, shaped to facilitate cooperation under human time, information, and
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molecular biology and either prior experience in, or a strong desire to learn, basic bioinformatic analyses. Applicants must hold a PhD by the start date. To apply, please provide: a CV contact information
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of their effective start date. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through
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mitochondrial quality leads to neurodegenerative diseases and impairs neuronal recovery. To approach these questions we use a combination of genetics, biochemistry, cell biology and imaging in a number of models
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of biological and statistical physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and control theory
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growth of the CDS community. Located in the heart of New York City, we foster strong research collaborations with several top technology, media, and financial firms including Google, Meta, IBM, Microsoft
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solutions for problems both local and global. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related
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of machine learning researchers, engineers, and domain scientists. This collaborative environment offers a unique opportunity to work on cutting edge AI models, with a focus on generalization and
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dissertation chair confirming you will complete it before Sep 1st , 2026. Please upload verification as an additional document in the document upload section. 2. Earned PhD or equivalent in statistics