61 model-driven-engineering-"Data-driven-Materials-Modeling" Postdoctoral positions at Rutgers University
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. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates will present research findings through
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Time Posting Number 26FA0706 Posting Open Date 08/10/2026 Posting Close Date 08/21/2026 Qualifications Minimum Education and Experience PhD in Materials Science and Engineering or related fields
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of transcriptomic, metabolomic, proteomic changes in rat/mouse models of Dementia. The individual will be responsible for planning and executing experiments independently. The individual has to be highly skilled in
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for cancer, including tumor-infiltrating lymphocytes and gene-engineered T cells. Postdoctoral Associates are expected to establish an innovative, collaborative research program addressing important and
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be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the pathophysiology of epilepsy or seizure disorders using murine models and human
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Associate will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms of various brain disorders using murine models and iPSC
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perspective of planetary formation, integrating geodynamical and geochemical models to investigate the evolution of terrestrial planets from accretion and differentiation to the emergence of habitable
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But Degree Status will be considered for interviews. Possess good organization and documentation skills. Demonstrate good communication skills. Be comfortable working accurately in a deadline driven
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, molecular cloning, protein expression and characterization, DNA and RNA purification and analysis, and protein-nucleic acid interactions is required. The candidate should be self-driven, well-organized, a
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Associate will perform research using advanced behavioral, chemogenetic and neuroscience approaches in rodent memory, stress and reward self-administration models. Research will use orexin-cre rats and local