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, you will work specifically on analysis of two completing trials with clinical, biomarker and imaging data: Psychosis Immune Mechanism Stratified Medicine Study and the Antidepressant for Prevention
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in cortical circuits mediating defensive responding. Responsibilities will include rodent colony management, stereotaxic surgery, behavior testing, fiber photometry protocols and data analysis, brain
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 10/01/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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3 Sep 2026 Job Information Organisation/Company Lodz University of Technology Department Division of Dynamics Research Field Physics » Other Mathematics » Other Researcher Profile Recognised
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wall polymers. This will involve the implementation, execution and analysis of advanced molecular simulations, the use of machine learning techniques and deployment on state-of-the-art high performance
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Required: Ph.D. in high energy nuclear or particle physics or a related field Required Qualifications: Demonstrated experience in data analysis. Skill related to the analysis of large-scale datasets (e.g
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analysis. Secure and maintain research ethics approval and manage data in line with University policy, funder requirements and applicable data protection law. Maintain transparent and reproducible research
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studies, including drug target evaluation, molecular pharmacology assays, cell culture models, and in vivo xenograft models to evaluate novel targeted therapeutic strategies. Data Analysis & Scientific
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fluency in Cantonese), and demonstrate strong skills in statistical analysis, data management, and project coordination. Applicants should also exhibit the ability to work independently and collaboratively
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-spectrometry-based proteomic and metabolomic workflows, quality control, quantitative data processing, statistical analysis and integration of proteomic and metabolomic datasets. You will also contribute to data