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-temperature conditions. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management
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be 14 faculty members supervising the fellowship. For further information on this Fellowship position, please contact Jennifer Rodriguez at jennr18@hs.uci.edu Department: https://radiology.uci.edu
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invariant Natural Killer T (iNKT) cells for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational
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Job Description Job Alerts Link Apply now Research Fellow in Quantum Algorithms University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit: Computer Science Group Employee
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needs of faculty, including dual-career couples. Please visit the following link for more information: https://www.auburn.edu/academic/provost/facultyjobs/ . Review of applications will begin January 31
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23 Mar 2026 Job Information Organisation/Company Institute of Chemical Process Fundamentals of the CAS Research Field Chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 30
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Pharmacology) Posting Start Date: 14/11/2025 Job Description A Research Fellow position in Associate Prof Gautam Sethi research
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 2 days ago
detection system for microbial testing of biologic products. Learning Objectives: The fellowship will provide you structured training in applied regulatory science, linking process understanding of novel
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10 Apr 2026 Job Information Organisation/Company University of Bergen Department epartment of Physics and Technology Research Field Physics Researcher Profile First Stage Researcher (R1) Positions
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of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial datasets