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Field
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: Pediatrics, Gastroenterology, Hepatology, and Nutrition Postdoc Appointment Term: 1 year and renewal will be re-evaluated based on funding and performance. Appointment Start Date: 6/1/2026 Group
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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for therapeutic development. Perform high-throughput screening of immune-modulating compounds and assess their effects. Collaborate with interdisciplinary teams, including clinicians, bioengineers, and
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Research Program Our labs investigate the neural and sensorimotor bases of speech production using a combination of EEG, fMRI, and advanced behavioral testing methodologies. The successful candidate will
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the group’s research and philosophy head over to www.d2r2group.com Qualifications Strong background in ab-initio calculations of materials (density functional theory) and high-performance computing
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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investigations on heat stress tolerance, expanding the tuber dormancy period, marker-assisted and genomic selection for important traits, as well as starch modifications. Supervise personnel and coordinate program
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to treatment. We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data, including but not
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performing neuro-behavioral and/or neuro-physiological experiments, including visual stimulus design, eye tracking, MRI or large-scale electrophysiology techniques (ideally Neuropixels). Additionally
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, high-dimensional modeling, or cloud/high-performance computing Experience (training acceptable) with one or more of the following: Genome-wide association studies (GWAS) Genotype imputation Fine-mapping