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Field
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to peer-reviewed scientific journals (40%); Conducting statistical and geospatial analyses of biological data (40%); Conducting laboratory and field work related to biological assessment and DNA
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About the Opportunity The Computational Clinical Psychology Lab at Northeastern University is seeking a highly motivated Postdoctoral Researcher. The focus of the lab is using innovative statistical
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for up to three years with a start date starting in Summer of 2024. Qualifications The ideal candidate would possess skills in advanced statistical modeling, working with multi-dimensional datasets
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in advanced statistical modeling, working with multi-dimensional datasets, project management, and expertise in either infectious diseases, spatial modeling, or climate science. We are looking
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Postdoc Salary Type of Position Staff Position Time Status Full-Time Required Education Applicants must have obtained a PhD in cancer biology, immunology, or a related field within the past three years
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here . Duties & Responsibilities Organize data output Analyze large data sets Write up data findings Mentor students in the lab Minimum Qualifications PhD in ecology or related field upon hire Preferred
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, Pathology, Medicinal Chemistry, Genomics and Proteomics. Education/Experience: Candidates should have a recent PhD and/or MD degree in biomedical sciences. Ideal candidates are highly-motivated, creative
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Experience: Appropriate PhD Required Knowledge, Skills, and Abilities: Ability to conceptualize, implement, and evaluate research protocols for aging and public health studies in real world community, clinical
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
on biophysics and applied mathematics. Approaches in fields of network theory, machine learning, neural networks & deep learning, multivariate statistics, scientific visualization and nonlinear dynamics
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Experience: Appropriate PhD Required Knowledge, Skills, and Abilities: Ability to conceptualize, implement, and evaluate research protocols for aging and public health studies in real world community, clinical