23 phd-computer-artificial-machine-human Postdoctoral positions at Indiana University
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Disease and Related Dementias (MAP-AD). This innovative and multidisciplinary project aims to develop brain oganoids derived from human iPSCs- to study vascular dysfunction in Alzheimer’s disease and
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Science, Computer Science, Data Science, Neuroscience, or a related field by the start date. Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning
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PhD in informatics or a related discipline (e.g., computer science) · Ideal candidates will have EITHER, both are not required o Experience recruiting and retaining adolescents in longitudinal
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. Knowledge and understanding of modern molecular biology, immunology and biochemical techniques including ChIP-sequencing and other multi-omics techniques is a plus. Strong analytical and computer skills are
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, Neuroscience, or a related field by the start date. Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning. Proficiency in Python, MATLAB, or R. Strong
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proteomic techniques as well as human stem cell models. The candidate must be comfortable with advanced molecular biology techniques and bioinformatics. We are seeking a self-directed, self-motivated, curious
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) from NIH studies and receive mentorship from faculty investigators toward the development of an independent program of research. Opportunities to become involved with other areas of work will arise
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, and litigation strategies to address those impacts. Now, we’re looking for a postdoctoral scholar to expand our research program and do high-impact work at the intersection of climate change and human
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana. Basic Qualifications 1. PhD with substantial hands-on research experience