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well as experience in cell culture models, animal genetics and data analysis is beneficial. Salary is commensurate with education and experience. Competitive benefits package included. Minimum Position Qualifications
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology
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theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and
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the physicians at LifeDoc Health, a non-profit healthcare provider. Responsibilities focus on data analytics and econometric modelling of patient-level data (encounters, outcomes, etc.) and an assessment
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. The candidate will focus on 1-2 of the following projects: (1) epigenetic analysis in a mouse models of Parkinson’s disease related exposures, (2) elucidating molecular mechanisms of pesticide-induced changes in
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(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
to immediately fill multiple postdoctoral fellowship positions to study the genetic and genomic bases of epilepsy conditions with a particular focus on brain-tissue specific genetic variants mediating seizures
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of immune cells and in functional assays determining T cell functions - Experience with in vivo experiments in preclinical model systems of viral infection - Excellent writing and communication skills
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. Applications will be accepted until the position is filled. Job profile The successful candidate will apply linear control theory to existing artificial neural network models of working memory, task switching