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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Healthcare Department NJMS-Pharmacology Overview New Jersey’s academic health
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career scientist with PhD(or equivalent) in Plant Biology, Biochemistry, Molecular Biology, Analytical Chemistry, or related field interested in integrated plant metabolomics and proteomics. Hands
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Description: Job Duties Research Overview: Design and conduct experiments and interpret data under the mentorship of the Principal Investigator (PI). Design and carry out cell culture and rodent-based research
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. The TQM Unit carries research in the broad area of condensed matter theory and statistical physics, making use of both numerical and analytic techniques. Postdocs in the Unit have the opportunity
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, and translational research. Proven analytical skills and experience in experimental research. Experience in software development (e.g., treatment planning tools, imaging algorithms, AI-based
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
chemistry background including inorganic and analytical chemistry, and experience with quantitative analysis of environmental data. Required Qualifications, Competencies, and Experience Well-organized, detail
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sampling, analytical methods such as GC-MS, LC-MS, or other relevant instrumentation. Experience in olfactory system research is highly desirable. Background in experimental design, data analysis
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
track-record in first-author scientific publications for Postdoc applications Experience with data-driven machine learning methods for modelling (PINN, Sparse Symbolic Regression methods) High willingness
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and rural settings. 15% Coordinates behavioral playback data collection 20% Develops analytical pipeline to model how the space use and behavior of each species changes across the urbanization gradient
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disparities in supportive care medication (SCM) use, using national datasets (e.g., SEER-Medicare, SEER-MHOS), predictive analytics, and stakeholder-engaged methods. The lab is committed to actionable research